Category Archives: Healthcare

Innovation or Not – Midjourney Medical and the Illusion of Frictionless Health

Innovation or Not - Midjourney Medical and the Illusion of Frictionless Health

by Braden Kelley and Art Inteligencia

For years, the technology world has watched Midjourney dominate the digital canvas, turning text prompts into breathtaking generative art. But in an unexpected, high-stakes pivot, the self-funded AI research lab is shifting its focus from software pixels to heavy medical hardware. Under the visionary direction of David Holz, the company is attempting to completely rearchitect how we map the human anatomy by introducing a 60-second immersion tank designed to challenge the established medical imaging status quo.

“We want to turn a cold, clinical, and often terrifying event into a casual, proactive trip to the spa.”

By moving away from the intimidating, clanging cylinders of traditional radiology and steering toward consumer wellness spaces filled with pools of golden light, Midjourney is attempting a massive feat of experience design. However, as any strategist knows, a beautiful interface does not inherently solve a complex medical problem.

From a human-centered innovation perspective, we have to look past the aesthetic appeal and ask the hard questions: Can a system built on ultrasound waves and massive computational reconstruction genuinely disrupt the deeply entrenched MRI and CT scan markets? Or is this an overhyped, physics-constrained novelty that risks creating more diagnostic noise than actual clinical value? Let’s break down the genesis, the mechanics, and the economic realities of this emerging technology to determine if it is a true paradigm shift — or simply a brilliant illusion.

Section I: The Genesis of an AI Outlier (Core Business vs. The Hardware Leap)

To understand the magnitude of this shift, you have to look at the sheer contrast in business models. Midjourney built its empire as a lean, hyper-profitable software-as-a-service (SaaS) platform, leveraging massive cloud compute to generate digital art for millions of subscribers. Moving from that friction-free digital realm into the high-risk, heavily regulated world of medical hardware is a leap few saw coming.

But this isn’t a random detour; it is a calculated bet on the convergence of physics and algorithms. Midjourney isn’t building the foundational hardware entirely from scratch. Instead, they have formed a massive $74 million co-development partnership with Butterfly Network, utilizing forty of their cutting-edge “Ultrasound-on-Chip” silicon modules. By combining Butterfly’s semiconductor-based ultrasound technology with Midjourney’s world-class computational reconstruction capabilities, the goal is to transform chaotic acoustic waves into crisp, full-body anatomical maps.

The strategic play here is treating massive compute power and large-scale AI models as a universal hammer to solve complex, real-world data reconstruction problems.

Founder David Holz’s broader organizational philosophy treats software and hardware as two sides of the same coin, balancing a portfolio of four software projects and four hardware initiatives. By treating the human body as a data set waiting to be rendered, Midjourney is attempting to prove that the core competency of an AI company isn’t just generating beautiful images — it is interpreting complex physical data to design a healthier, lower-friction human experience.

Ultrasound on a Chip Foundation

Section II: Modality Breakdown — The Midjourney Scanner vs. MRI vs. CT

To evaluate whether Midjourney’s system can legitimately disrupt medical radiology, we must contrast its core mechanics against the industry workhorses: Magnetic Resonance Imaging (MRI) and Computed Tomography (CT). While the immersion tank is designed to feel frictionless, the underlying physics presents a starkly different story of trade-offs.

The core hardware architecture relies on arrays of semiconductor chips, a massive shift from traditional radiation or magnetic resonance equipment.

Here is how the three modalities compare across their primary operational, infrastructural, and physical characteristics:

Feature Midjourney “Ultrasonic CT” Conventional MRI Conventional CT Scan
Primary Physics Ultrasound (Sound waves + water immersion) Powerful Magnetic Fields + Radio Waves Ionizing Radiation (X-rays)
Scan Duration ~60 seconds 30 to 90 minutes 5 to 15 minutes
Infrastructure Consumer wellness space (“Midjourney Spa”) Shielded clinical room, liquid helium cooling Hospital/clinical radiology department
Inherent Limits Struggles with dense bone and air-filled organs (lungs) Claustrophobia, zero metal allowed, high maintenance Radiation exposure limits frequency of use
Clinical Utility Non-diagnostic body composition mapping (Gen-1) Deep tissue, neurological, and joint diagnostics Bone fractures, internal bleeding, acute chest/abdo

The Definite Advantages

  • Zero Ionizing Radiation: Unlike a CT scan, which uses X-rays, Midjourney’s scanner uses acoustic waves. This makes it safe for repeated, routine baseline monitoring.
  • Speed and Comfort: A 60-second immersion entirely side-steps the extreme claustrophobia and deafening, jackhammer-like thumping of an MRI machine.
  • Decentralized Infrastructure: Because it doesn’t require liquid helium cooling or radiation-shielded walls, it can exist in light commercial real estate rather than expensive hospital wings.

The Unforgiving Disadvantages

This is where the laws of physics present a massive wall. Ultrasound waves travel exceptionally well through water and soft tissue, but they scatter severely when encountering dense bone or air pockets.

An MRI uses radio frequencies to manipulate hydrogen atoms, providing unparalleled resolution of soft tissues, brains, and ligaments. A CT scan cuts through bone with mathematical precision. Midjourney’s scanner, by using ultrasound, inherently struggles to “see” inside the skull or provide precise diagnostic data on air-filled lungs. While their massive AI model can use predictive algorithms to stitch scattered sound waves together, it runs the dangerous risk of hallucinating details to fill in acoustic blind spots — a minor issue for digital art, but a fatal flaw for a medical diagnosis.

Section III: The Economics of the Scan (Cost per Test)

To understand how Midjourney intends to disrupt the medical imaging market, we have to look past the technology and analyze the economic ecosystem. Traditional healthcare radiology is built on a highly centralized, capital-intensive model. Midjourney, true to its technology roots, is attempting to deploy a decentralized, high-volume model that relies on radical unit economic scaling.

The Heavy Burden of Legacy Systems

Traditional MRI and CT systems are financial black holes for healthcare providers before a single patient even walks through the door. A new, high-field MRI machine typically costs between $1 million and $3 million upfront, paired with hundreds of thousands of dollars in annual maintenance contracts, specialized software licensing, and the continuous cost of liquid helium for cooling.

When you factor in specialized radiologic technologist labor, hospital facility overhead, and the necessary physician interpretation fees, the cost passed to the consumer or insurance provider explodes. A standard MRI scan in the United States ranges from $400 to over $12,000, depending entirely on the hospital system and insurance coverage. This extreme cost makes scanning inherently reactive — reserved only for acute crises or post-injury confirmation.

“The legacy model treats imaging as a scarce, expensive luxury. Midjourney’s objective is to treat imaging data as an abundant commodity.”

Silicon Scaling vs. Superconducting Magnets

Midjourney’s approach completely bypasses these legacy infrastructure costs by leaning heavily on semiconductor technology. By utilizing Butterfly Network’s Ultrasound-on-Chip modules, the hardware costs scale alongside the manufacturing efficiencies of the silicon industry, rather than the expensive raw materials required for massive superconducting magnets.

This hardware shift enables a completely different operational scale. Midjourney has laid out an incredibly aggressive target: 50,000 scanners deployed globally by 2031, with the capability to process an astonishing 1 billion scans per month.

The Consumer Subscription Paradigm

Because the upfront infrastructure costs are significantly lower, Midjourney can entirely opt out of the complex, bureaucratic insurance reimbursement pipeline. Instead, they are positioning the scanner as an out-of-pocket, direct-to-consumer wellness product.

By matching the consumer subscription architecture of their core generative art business, a full-body scan could realistically be priced at a fraction of a clinical scan — democratizing access to full-body physical tracking. This changes the consumer paradigm entirely: instead of paying thousands of dollars for a one-time diagnostic scan after getting hurt, users pay a predictable, accessible fee to continuously monitor their baseline health over time.

Section IV: The Experience Design and Human Factors

As a human-centered design practitioner, this is where the Midjourney project becomes truly fascinating. Innovation isn’t just about the underlying technology; it is about how that technology fits into the fabric of human life. Midjourney is attempting a radical intervention in experience architecture, completely reimagining the emotional and sensory journey of medical imaging.

Friction Reduction: From Clinical Dread to Spa-Like Sanctuary

The traditional imaging experience is fundamentally hostile to human comfort. To get a standard MRI, a patient is slid into a cramped, freezing, claustrophobic plastic tube, instructed not to swallow or breathe for long intervals, and subjected to a deafening, metallic jackhammer cadence. It is an experience designed around the machine, not the human.

Midjourney completely flips this dynamic. By embedding forty ultrasound chips into an immersion tank, they replace clinical dread with sensory-focused relaxation. The user steps into a warm, shallow pool of water enveloped by soft, golden light. The entire scan takes a mere 60 seconds, requiring no breath-holds or structural restraints. By removing the psychological barriers of fear and discomfort, Midjourney converts a medical chore into a low-friction wellness ritual.

“True human-centered innovation doesn’t just make a system faster; it alters how the user feels while engaging with it.”

The Behavioral Shift: Reactive Crisis vs. Proactive Benchmarking

This experiential shift fundamentally alters human behavior. Today, we view medical scans as reactive interventions — something you endure only when you are broken, injured, or deeply sick.

By lowering both physical and financial friction, Midjourney aims to transition users into a state of proactive health tracking. Instead of a frantic, single-point-in-time diagnostic event, the full-body scan becomes an ongoing baseline. Users can visualize changes in their body composition, muscle mass, and internal soft-tissue structures month-over-month, shifting the health paradigm from waiting for illness to actively managing wellness.

The Over-Diagnosis Trap and “Clinical Noise”

However, an optimized user experience can still lead to systemic friction. Medical professionals are already raising alarms about the over-diagnosis trap. The human body is beautifully imperfect; we are filled with benign cysts, harmless nodules, and structural anomalies that will never cause us harm.

When you give millions of consumers an effortless, low-cost way to scan their entire bodies every month, you inevitably generate a massive influx of “clinical noise.” A user sees an unfamiliar shadow on their automated Midjourney report, panics, and floods the traditional healthcare system demanding specialist consultations, biopsies, and secondary MRIs. More data does not automatically equal better health. If an experience-driven tool inadvertently drives healthy people into spiral of unnecessary medical anxiety and drains clinical resources, it fails the ultimate test of human-centered utility.

Section V: The Regulatory and Future Development Roadmap

The leap from software pixels to medical-grade diagnostics is governed by an uncompromising arbiter: regulatory clearance. In the United States, the Food and Drug Administration (FDA) treats diagnostic machinery with the highest level of scrutiny. To navigate this reality without grinding their momentum to a halt, Midjourney is executing a highly strategic, phased rollout.

The Wellness Sidestep: Launching under General Wellness Guidance

Midjourney is deliberately holding back from making immediate disease diagnoses. When the first flagship “Midjourney Spa” opens its doors near Union Square in San Francisco in late 2027, it will strictly offer “detailed body composition maps.” By focusing solely on measuring muscle volumes, body fat distribution, and skeletal structures without asserting clinical diagnoses, Midjourney can launch under the FDA’s General Wellness Policy.

This is the exact same low-risk, non-invasive regulatory lane utilized by premium whole-body MRI screening services like Prenuvo and Ezra. It allows Midjourney to immediately commercialize the technology, build consumer habits, and generate cash flow while completely bypassing the years of grueling clinical trials required for formal diagnostic approval.

“The short-term goal is to do what is regulatorily simple to establish the footprint. The long-term goal is incremental validation.”

The Massive Computational Challenge

While David Holz noted that the Gen-1 prototype doesn’t even rely on generative AI yet, the data reconstruction pipeline is an absolute beast. The machine’s ring of 40 custom Butterfly Network chips streams roughly 17 gigabytes of raw acoustic data per second.

Processing these non-linear inverse scattering problems — essentially stitching scattered sound waves into a coherent, sub-millimeter 3D volume — demands over two petaflops of on-device computational power. The future development roadmap relies heavily on refining these proprietary algorithms to cleanly differentiate tissue boundaries over the next 12 to 24 months.

The 10-Year Vision: Diagnostics and Beyond

Midjourney has already initiated preliminary discussions with the FDA. The overarching strategy is a rolling submission process: as their data sets grow from thousands of consumer scans, they will submit clinical test results to the FDA to unlock “increased capabilities” piece by piece.

Over a ten-year horizon, Midjourney expects these machines to evolve far beyond basic body mapping into tools capable of running thousands of automated diagnostic cross-checks. Holz has even hinted at a long-term future where the hardware isn’t just used for passive imaging, but scales into localized, acoustic therapeutic applications as well.

Conclusion: Innovation or Not? The Verdict

When evaluating an emerging technology through the lens of strategic foresight and human-centered design, we must separate the seductive pull of an exquisite user experience from the hard reality of systemic impact. Midjourney’s full-body scanner is undeniably one of the most audacious pivots in tech history, but does it truly deserve the title of an innovation?

Why it IS an Innovation

From an experiential standpoint, it is a masterclass in friction reduction. It takes a universally dreaded clinical procedure — the cold, loud, claustrophobic machinery of legacy radiology — and transforms it into an accessible, 60-second wellness ritual. By combining semiconductor-based ultrasound with high-petaflop computational reconstruction, Midjourney is bypassing the multi-million-dollar physical constraints of traditional MRIs. If they achieve their goal of global scale, they will successfully shift human behavior from reactive crisis management to proactive, continuous health tracking.

Why it might NOT be

However, an innovative interface cannot rewrite the fundamental laws of physics. Ultrasound waves scatter when facing dense bone and air, leaving inherent diagnostic blind spots that cannot be entirely solved by predictive code. Furthermore, by making full-body scans an effortless consumer commodity, Midjourney risks unlocking the over-diagnosis trap — flooding the healthcare ecosystem with false positives, benign findings, and “clinical noise” that triggers immense medical anxiety and strains real-world clinical resources.

“True innovation does not just solve a human friction point on the front end; it ensures it does not create a deeper systemic failure on the back end.”

The Final Verdict

Ultimately, Midjourney Medical is a qualified innovation. It is a brilliant, high-compute disruption of the preventative wellness space, but it is not a true replacement for the diagnostic precision of an MRI or CT scan. Until the technology undergoes rigorous clinical validation and handles acoustic blind spots without the risk of algorithmic hallucinations, it remains an extraordinary tool for proactive physical benchmarking. David Holz and his team have designed an incredible, low-friction gateway to our data — but for now, the spa-like sanctuary is a complement to medicine, not a substitute for it.

Frequently Asked Questions

1. Can the Midjourney full-body scanner completely replace a traditional hospital MRI or CT scan?

No, it cannot replace them. While Midjourney’s scanner offers a fast, comfortable 60-second experience, it relies on ultrasound-on-chip technology. Sound waves inherently struggle to penetrate dense bone or image air-filled organs like the lungs. Traditional MRIs and CT scans use magnetic fields and X-rays, providing deep-tissue and skeletal diagnostic precision that ultrasound waves simply cannot achieve due to the laws of physics.

2. Does the Midjourney scanner have FDA approval for medical diagnostics?

No. Midjourney is deliberately launching the device under the FDA’s General Wellness Policy guidelines, focusing strictly on “body composition mapping” (such as muscle volume and fat distribution) rather than diagnosing specific diseases. This allows them to open consumer wellness spaces by late 2027 without waiting years for clinical diagnostic trials, though they plan a rolling submission process to gain incremental diagnostic approvals over the next decade.

3. How does the cost of a Midjourney scan compare to traditional clinical imaging?

Traditional MRIs and CT scans are highly centralized and expensive, ranging anywhere from $400 to over $12,000 depending on insurance and hospital overhead. Because Midjourney uses silicon semiconductor chips instead of multi-million dollar superconducting magnets, their hardware scaling costs are drastically lower. Midjourney bypasses insurance entirely, offering direct-to-consumer out-of-pocket pricing structured around an affordable, subscription-based wellness model.


Image credits: Google Gemini, The Robot Report

Content Authenticity Statement: The topic area, key elements to focus on, etc. were decisions made by Braden Kelley, with a little help from Google Gemini to clean up the article, add images and create infographics.

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Top Futurist Sees Major Healthcare Disruption Ahead

Top Futurist Sees Major Healthcare Disruption Ahead

GUEST POST from Robert B. Tucker

The future of healthcare is not coming, it is already here. And according to Delphi Group CEO Thomas Koulopoulos, it is unfolding far faster than most traditional providers are prepared to handle.

In a recent conversation in Harvard’s Science Center, Koulopoulos laid out a stark and compelling vision: healthcare is on the verge of being fundamentally restructured. It’s not being restructured by hospitals or insurers, but by technology, data, and a radical shift in who (or what) patients trust.

At the center of his prognosis is a simple but often overlooked truth about innovation. “We tend to focus on the product,” he explains. “The iPhone, the app, the device. But what actually drives innovation is process.” In healthcare, those processes are deeply entrenched, fragmented systems, outdated workflows, and institutional inertia that slow everything down. That is precisely why disruption is not only inevitable, but imminent.

Koulopoulos is not speaking theoretically. These days, he works across a handful of advisory and consulting roles, roughly seven or eight at any given time, many of them at the intersection of artificial intelligence and healthcare transformation. Nearly every engagement involves rethinking how care is delivered, not just improving it incrementally. The work is intensely process-centric, but the outcomes are tangible: new services, new delivery models, and entirely new ways of interacting with patients.

What has changed most dramatically, he notes, is healthcare’s willingness to look outside itself. A decade ago, a non-clinician advising healthcare systems would have been dismissed. Today, that openness reflects something deeper: a recognition that the biggest threat to healthcare is not internal inefficiency—it is external disruption.

“Amazon, Apple, Google, Meta, they all want to own your healthcare,” Koulopoulos says. “And in some ways, they are already doing a better job.”

That statement may sound provocative, but the evidence is increasingly hard to ignore. Patients are arriving at doctor visits armed with data from wearables, AI-generated analyses of lab results, and a level of insight that would have been unthinkable just a few years ago. In one recent example, Koulopoulos brought AI-driven health insights into a routine appointment. His physician was stunned—not just by the quality of the analysis, but by the depth of the conversation it enabled.

That interaction, he believes, is a preview of what comes next. Within a very short timeframe, measured in years, not decades, patients will increasingly turn to AI as their first point of consultation. Trust, particularly among younger generations, is already shifting in that direction. While older patients may hesitate, younger ones see not just the current limitations of AI, but its trajectory. They understand that what is imperfect today will improve rapidly—and they are willing to bet on that curve.

But the real disruption goes far beyond diagnostics. It strikes at the core structural weakness of healthcare systems worldwide: the absence of continuity.

“Ask yourself a simple question,” Koulopoulos says. “Could you pull together your entire medical history from the past ten years in five minutes?” For most people, the answer is no. Records are scattered across providers, insurers, pharmacies, and systems that rarely communicate with one another. The result is inefficiency at best—and dangerous fragmentation at worst.

The solution he envisions is what he calls the “digital advocate,” a personal, AI-powered twin that holds a complete, longitudinal record of your health. This is not a distant concept. Koulopoulos already maintains such a system for himself, integrating years of medical data into a single, accessible interface that allows him to analyze trends, question anomalies, and make informed decisions in real time.

In this model, the patient (not the provider) becomes the central node in the healthcare ecosystem. The digital advocate does not operate in silos; it integrates everything, from lab results to imaging to behavioral patterns. It can speak for you, guide you, and coordinate your care. In aging populations, it may even serve as a surrogate voice when patients can no longer advocate for themselves.

This shift has profound implications. It effectively leapfrogs the existing system rather than attempting to fix it incrementally. And it introduces a new kind of intelligence into healthcare—one that is continuous, personalized, and deeply contextual.

The healthcare system is already in shock

At the same time, Koulopoulos and other healthcare futurists point to another overlooked force of disruption: the tortured economics of healthcare, and globally, not just in the US. The entire system is in cardiac arrest.

“Hospitals have essentially never recovered from the multiple shocks of COVID,” observes futurist Langdon Morris. “The entire delivery chain was so massively disrupted that it has not recovered. And the non-recovery threatens to bankrupt many hospitals, which would in many cases be disastrous for the communities they serve.” Disruptive companies are coming fast for all the incumbents in all markets, and the future winners in many markets will be the ones who do the best job of integration. “The days of standalone technology are finished,” Morris believes. We expect a major disruption in the supplier ecosystem.

The demand for healthcare in the future will diminish, according to forecasters. Advances in treatment may turn diseases like cancer into manageable chronic conditions rather than acute crises. Autonomous vehicles, longer term, could dramatically reduce accident-related injuries, a major source of emergency room visits. Each of these shifts erodes the volume-based economics that underpin much of today’s healthcare infrastructure.

The result? “Traditional providers are going to be in a world of pain,” Koulopoulos says bluntly.

Yet the greatest obstacle to transformation may not be technological, it is cultural. Organizations cling to what has worked in the past, even as the ground shifts beneath them. The pattern is familiar. Kodak protected film. Blockbuster protected brick-and-mortar stores. Healthcare providers risk protecting legacy systems at the expense of future relevance.

So what should healthcare leaders do?

In our interview, Koulopoulos was clear: start by building internal capability to understand and apply these technologies. That means not just experimenting with AI, but actively integrating it into clinical workflows—everything from “ambient listening” during patient visits to AI-assisted communication that translates complex diagnoses into understandable, actionable language.

Equally important is embracing the broader ecosystem. Patients are already using wearables, at-home diagnostics, and digital tools that operate outside traditional systems. Providers can either ignore these inputs, or integrate them into a more holistic model of care.

The competitive threat is not theoretical. In one case, Koulopoulos compared a hospital-based sleep study, typically requiring weeks of waiting and multiple appointments, to an at-home diagnostic device that delivered equivalent results in 72 hours. The question he posed to the provider was simple: how do you compete with that?

There was no easy answer.

Ultimately, the future of healthcare will not be defined by any single breakthrough, but by the convergence of technologies, processes, and shifting expectations. Patients will navigate an ecosystem of options, choosing convenience and speed alongside quality. Providers who resist this shift will find themselves increasingly marginalized.

Those who adapt, however, have an opportunity to redefine their role, not as gatekeepers of care, but as orchestrators within a dynamic, patient-centered system.

Koulopoulos sees that future clearly. The question is whether the rest of the industry is willing to see it, and act, before it is too late.

This article originally appeared in Forbes

Image credit: The Delphi Group

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Liberated to Care – How AI Can Restore Humanity in Healthcare

Liberated to Care - How AI Can Restore Humanity in Healthcare

GUEST POST from Kellee M. Franklin, PhD.

Heapy has long been a quiet force in the evolution of healthcare design – not with grand pronouncements, but with deep, thoughtful work that reshapes how we experience care. For decades, they have approached hospitals and clinics not as static buildings, but as living ecosystems – places where healing does not happen despite the surroundings, but because the space was designed to make it possible.

Their work goes beyond sustainability in the traditional sense – energy efficiency, material choices, LEED certifications – though they lead there, too. What sets Heapy apart is their commitment to human sustainability: designing spaces that support not just the planet, but the people within them. Clinicians. Patients. Families. The entire care team.

They understand that a healing environment is not just about clean lines and natural light – though those things matter. It is about creating places that reduce stress, prevent burnout, and foster connection. Spaces that are flexible enough to adapt to a pandemic, yet intimate enough to embrace the ailing or comfort a grieving family.

And they do this not in isolation, but in partnership – with providers, communities, vendors, and innovators who recognize that the future of healthcare is not only about smart technologies, but about deep human intention. It is not just what we build, but why – and for whom.

It was in that spirit last week, I had the honor of serving as the keynote speaker at Heapy’s Symposium on Sustainability in Healthcare, hosted in the beautiful “Queen City” of Cincinnati, Ohio – a gathering of dreamers and designers from across industries, all united by a shared belief: that the future of care must be human-centered.

It was in that room, surrounded by industry pioneers, who see beyond efficiency and into empathy, that the vision for a different kind of healthcare took shape – not as a distant ideal, but as a gentle uprising already underway.

We have spent decades optimizing a system that was not built to heal. It was not built for people at all. It is a machine – and both patients and caregivers are just trying to survive it.

We have chased speed, throughput, and cost-cutting – as if care were an assembly line. But in the rush to do more, faster, we have lost something irreplaceable: the human connection that lies at the heart of healing.

Clinicians drown in documentation; their eyes fixed on screens instead of faces. Patients feel like data points, shuffled through impersonal workflows. And hospital administrators, well-meaning as they are, focus on numbers that measure activity, not meaning.

But what if we stopped trying to make the machine run faster – and started asking: How might we build something entirely different? Not a smarter system, but a human one?

Not a system that grinds, but one that breathes. Not one that manages, but cares.

That is the future we are stepping into – not as a distant dream, but as a calm, determined shift, unfolding from the electricians who wire our buildings to the executives who shape our boardrooms. Not a future where technology replaces humanity, but one where it finally sees us – amplifies us – and reminds us why we are here.

And this future – the heart of healing — rests on four pillars, championed by forward-thinking organizations like The American College of Healthcare Executives (ACHE): liberating clinicians, designing for resilience, committing to learning, and personalizing care.

Automation in Healthcare

Liberating Clinicians: Letting Humans Be Humans

Imagine a clinic where the doctor looks at you – not at a screen. Where nurses spend their shifts at the bedside, not buried in charts. Where the administrative load does not fall on the shoulders of those already stretched thin – like patients juggling multiple portals, passwords, and fragmented records.

That is not fantasy. It is the promise of AI as an ally, not an agitator.

We are already seeing systems where AI stealthily handles prior authorizations, drafts clinical notes, and surfaces critical data – not to replace clinicians, but to free them. Early adopters report not just time savings, but better patient outcomes. But the real win? Time. Time to listen. Time to notice. Time to care.

Because healing is not transactional. It is relational. It lives in the pause, the eye contact, the hand on the shoulder. And when we automate the mechanical, we make space for the meaningful. The metric should not be how many patients we see – but how deeply we see them.

Designing for Resilience: Spaces that Adapt, Not Just Endure

Now picture the places where care happens.

Too often, they feel like relics – rigid, impersonal, built for a world that no longer exists. The next generation of healing environments must be different. They must be resilient, not just in structure, but in spirit.

We need hospitals that can withstand storms – literal and metaphorical. That can scale during surges, pivot during pandemics, and adapt to the rapid pace of change. Modular walls. Flexible rooms. Infrastructure that evolves.

But resilience is not just about durability – it is about humanity.

It is peaceful zones for staff to decompress. Natural light in every patient room. Wayfinding that feels intuitive, not clinical. It is designing for emotional endurance as much as physical strength.

Because burnout is not just caused by workload – it is shaped by environment. A space that feels cold, chaotic, or dehumanizing wears people down. One that feels calm, connected, and cared for – even in a crisis – helps them endure.

So let us stop building facilities and start creating healing ecosystems. Places that support not just survival, but the fullness of life – where healing and wholeness go hand-and-hand.

Committing to Lifelong Learning: Growing…Together

Even the smartest tools and strongest walls will not matter if we do not equip people with the knowledge, skills, and supportive environment they need to grow.

That is why ongoing education is not just a nice-to-have – it is non-negotiable. But not the kind of training that feels like a box to check. We need learning that is alive, adaptive, and human-centered.

Leaders, clinicians, and designers need to understand not just how to work with AI – but why it matters to their work. It is not about compliance – it is about curiosity. Not just in operating it but partnering with it. We need safe spaces to experiment, explore, grow – and yes, even fail. No innovation happens without change – and no meaningful change happens without real learning.

Micro-learning modules. Peer mentorship. Protected time for reflection. These are not luxuries – they are lifelines of learning and innovation.

And when leaders model learning – when they say, “I don’t know, let’s figure it out together” – they signal that growth matters more than perfection.

Because the future of care is not about mastering technology – it is about forming partnerships. With each other. With patients. With tools that extend our capacity, not replace our judgment.

Transforming Care

Personalizing Care: Seeing the Person, Not the Problem

Finally, imagine care knows you.

Not in a surveillance way – not data hoarded, but wisdom shared. AI that can tailor treatments plans, adjust room settings, and anticipate needs – always with consent, transparency, and control.

This is not about efficiency. It is about dignity.

It is remembering the patient’s name. Honoring their preferences. Adapting to their story. Adjusting to their situation. The most powerful curative is still human attention – and AI can help us focus it.

We are already seeing systems where AI personalizes everything from medication timing to discharge planning – not to automate empathy, but to boost it.

Because when care feels seen and heard, the healing penetrates deeper.

Five Actions for Leaders: From Vision to Practice

So, what can leaders do – right now – to turn this vision into reality?

  1. Redesign Workflows Around Human Dignity: Stop measuring success by speed. Reengineer processes to reduce burnout and restore time for true connection. Use AI to handle the mechanical – documentation, scheduling, billing – and let it also surface critical insights, flag at-risk patients, and streamline workflows so clinicians can focus on what they do best: medicine. Measure moments of care, not mouse clicks – and allow AI to illuminate what truly matters: patient healing and well-being.
  2. Co-Create with Frontline Teams: No more top-down rollouts. Invite nurses, doctors, and support staff into the design of every new tool, space, workflow, and policy. – and use AI to elevate their voices, not override them. Imagine AI that analyzes frontline feedback in real-time, surfaces hidden pain points, and co-generates solutions alongside those who know the work best. Ask: Does this help you provide better care? Their lived experience, supported by intelligent insight, guide what gets built – because the best solutions do not emerge from closed boardroom doors, but from the open collaborative hands and hearts within the community of care.
  3. Build Spaces that Breathe: Invest in modular, adaptable infrastructure – but go further. Design for emotional resilience: tranquil zones, natural light, intuitive layouts, and AI-enhanced environments that respond to human needs in real-time. Imagine rooms that adjust lighting and temperature based on patient stress levels, or corridors that guide staff to moments of respite between high-pressure tasks. A healing space is not just durable – it is humane, alive with invisible intelligence that supports the whole-person: mind, body, heart, and spirit.
  4. Champion Learning as an Act of Care: Make continuous education protected time, not an afterthought. Offer micro-learning, peer mentorship, and collaborative spaces – and harness AI as a dynamic learning partner. Imagine intelligent systems that surface personalized insights, adapt to individualized learning styles, and guide clinicians through real-time decision support that doubles as on-the-job training. When leaders model curiosity and embrace AI not just as a tool, but as a catalyst for growth and innovation, they create cultures where learning is ongoing and invigorating.
  5. Personalize Without Surveillance: Use data to deepen trust, not erode it. Implement AI that personalizes care – predicting needs, tailoring environments, and adapting support – but always with consent, transparency, and patient control. Let personalization mean dignity: remembering a name, honoring a preference, adapting to a story, adjusting to a changing situation, and above all, putting people, not patterns, at the center.

A Future That Feels Human, Beautifully Imperfect

This is not about replacing the system. It is about reimagining it.

From one that manages people to one that sees them.

From one that measures output to one that values presence.

From one that optimizes speed to one that honors slowness – personal focus, deep listening, and the easy moments of connection that no algorithm can replicate.

The tools are here. The insights are clear. The question is no longer can we – but will we?

Will we choose efficiency – or humanity?

Will we build systems that merely function – or ones that truly heal?

The answer lies not in technology, but in where we choose to place our attention – and our intention.

As a Triple Negative Breast Cancer survivor, I have felt firsthand how cold and mechanical care can be – and how profoundly a space can either deepen that pain or help heal it. I have also seen how systems can exhaust the very people meant to deliver care. But I hold onto a belief: healing begins when we return to our humanity. From designers and clinicians to administrators and patients, each of us plays a vital role in co-creating a whole-health environment where care is not just delivered, but genuinely experienced.

And perhaps the most revolutionary act in healthcare today might just be this: to care, deeply, as beautifully imperfect humans – and to let everything else serve a universal truth – one rooted in compassion, true connection, and shared humanity.

Image credits: Kellee M. Franklin

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How Engineered Living Therapeutics Are Redefining Healthcare

The Living Cure

LAST UPDATED: January 29, 2026 at 5:38 PM

How Engineered Living Therapeutics Are Redefining Healthcare

GUEST POST from Art Inteligencia

For centuries, medicine has been about chemistry — pills and potions designed to intervene in biological processes. But what if the medicine itself could think? What if it could adapt? What if it was alive? This isn’t science fiction; it’s the audacious promise of Engineered Living Therapeutics (ELTs), and it represents a paradigm shift in human-centered healthcare that will redefine our relationship with illness.

As a thought leader in human-centered change and innovation, I’ve seen countless industries disrupted by radical new approaches. Biotechnology is no exception. ELTs are not merely advanced drugs; they are biological systems, often engineered microbes or cells, programmed to perform specific therapeutic functions within the body. This is innovation at its most profound: leveraging the inherent intelligence and adaptability of life itself to heal.

Beyond the Pill: The Intelligence of Living Medicine

Traditional pharmaceuticals often act as blunt instruments, targeting specific pathways with limited specificity and potential side effects. ELTs, by contrast, offer a level of precision and dynamic response previously unimaginable. Imagine a therapy that can detect disease markers, produce therapeutic compounds only when needed, or even self-regulate its activity based on the body’s changing state. This intelligent adaptability is what makes ELTs a truly human-centered approach to healing, tailoring treatment to the unique, fluctuating biology of each individual.

“The future of medicine isn’t just about what we put into the body; it’s about what we awaken within it. Engineered Living Therapeutics aren’t just treatments; they’re collaborations with our own biology.”

— Braden Kelley

Case Study I: Reprogramming the Gut for Metabolic Health

A burgeoning area for ELTs lies within the human microbiome. Consider the challenge of chronic metabolic diseases like Type 2 Diabetes. Current treatments often manage symptoms without addressing underlying dysregulation. One biotech startup engineered a strain of probiotic bacteria to reside in the gut. This engineered bacterium was programmed to sense elevated glucose levels and, in response, produce and deliver an insulin-sensitizing peptide directly within the intestinal lumen.

This targeted, localized intervention offered a novel way to manage blood sugar, reducing the systemic side effects associated with orally administered drugs. The innovation here wasn’t just a new molecule, but a living delivery system that dynamically responded to the body’s needs, representing a truly personalized and responsive therapy.

Case Study II: Targeted Oncology with “Smart” Cells

Cancer treatment remains one of medicine’s most formidable challenges. While CAR T-cell therapy has revolutionized certain hematological cancers, ELTs are pushing the boundaries further. Imagine immune cells engineered not only to identify cancer cells but also to produce potent anti-cancer molecules directly at the tumor site, or even to activate other immune cells to join the fight.

One research initiative is exploring tumor-infiltrating lymphocytes (TILs) engineered to express specific receptors that bind to unique tumor antigens and simultaneously secrete localized immunomodulators. This approach aims to overcome the immunosuppressive microenvironment of solid tumors, a significant hurdle for many current immunotherapies. This represents a leap towards truly precision oncology, where the body’s own defenders are given a sophisticated, living upgrade.

Leading the Charge: Companies and Startups in the ELT Space

The ELT landscape is rapidly evolving, attracting significant investment and groundbreaking research. Established pharmaceutical giants like Novartis and Gilead Sciences (through Kite Pharma) are already active in the approved CAR T-cell therapy space, which serves as a foundational ELT. However, a vibrant ecosystem of innovative startups is pushing the frontier. Companies like Seres Therapeutics are leading with microbiome-based ELTs for infectious diseases. Synlogic is developing engineered bacteria for metabolic disorders and cancer. Ginkgo Bioworks, while not a therapeutic company itself, is a critical enabler, providing the foundational synthetic biology platform for engineering organisms. Additionally, numerous academic spin-offs and smaller biotechs are emerging, focusing on niche applications, advanced gene editing techniques within living cells, and novel delivery mechanisms, signaling a diverse and competitive future for ELTs.

Designing Trust in Living Systems

ELTs raise questions about control, persistence, and governance. Human-centered change demands proactive transparency, ethical foresight, and adaptive regulation.

The future of ELTs will be shaped as much by trust as by technology.

The Human-Centered Future of Living Therapies

Healthcare innovation has long been constrained by an assumption that treatment must be static to be safe. Engineered Living Therapeutics (ELTs) challenge that assumption by embracing biology’s native strength: adaptability.

ELTs are living systems intentionally designed to operate inside the human body. They sense, decide, and respond. In doing so, they force leaders, regulators, and innovators to rethink what medicine is and how it should behave.

“True healthcare innovation begins when we stop trying to control biology and start designing with it.”

— Braden Kelley

The journey with ELTs is just beginning. As with any transformative technology, there are ethical considerations, regulatory hurdles, and manufacturing complexities to navigate. However, the potential for these living medicines to offer durable, highly targeted, and adaptive treatments for a vast array of diseases — from cancer and autoimmune disorders to infectious diseases and chronic conditions — is immense. By placing the human at the center of this innovation, ensuring patient safety, accessibility, and shared understanding, we can unlock a future where our biology becomes an ally in healing, not just a battlefield.


Frequently Asked Questions

What are Engineered Living Therapeutics (ELTs)?ELTs are biological systems, typically engineered microbes (like bacteria) or human cells, programmed to perform specific therapeutic functions within the body to treat diseases.

How do ELTs differ from traditional drugs?Unlike static chemical drugs, ELTs are dynamic and can sense the body’s environment, adapt their function, and produce therapeutic effects precisely where and when needed, offering a more intelligent and targeted approach.

What types of diseases can ELTs potentially treat?ELTs show promise across a wide range of conditions, including cancer, autoimmune disorders, metabolic diseases (like diabetes), infectious diseases, and gastrointestinal disorders.

Disclaimer: This article speculates on the potential future applications of cutting-edge scientific research. While based on current scientific understanding, the practical realization of these concepts may vary in timeline and feasibility and are subject to ongoing research and development.

Image credits: Google Gemini

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Why Amazon Paid $3.9 Billion to Get into the Healthcare Business

Why Amazon Paid $3.9 Billion to Get into the Healthcare Business

GUEST POST from Shep Hyken

Amazon is known for its amazing customer experience, despite most customers never talking to an Amazon employee. How does this digital experience — with no human interaction—drive so much loyalty? The short answer is confidence. There is very little that goes wrong with an Amazon experience, and if by chance it does, its system takes care of almost all problems—again, without human interaction. That said, if a customer does need to talk to a human, which is very seldom, the customer support team is there.

But what happens if you combine technology with a high-touch business, like a doctor’s office? You get One Medical, which Amazon bought in 2023 for $3.9 billion. One Medical’s founder, Dr. Tom Lee, is a Harvard-trained primary care physician who then went on to Stanford to get an MBA. Before opening his first clinic, he asked himself, “Why do we do these in healthcare like we’ve always done them? Why does every waiting room look like some sterile IKEA? Why do I wait in a reception area and then wait again in the exam room?” It was questions like these that caused Lee to tinker with and disrupt the traditional medical visit model.

Starting with one clinic, Lee created a different experience. He built an app and charged patients an $89/year subscription that gave them access to doctors. He focused on simple things like getting an appointment without making a call. Those little things were the start of what turned out to be a stellar experience that allowed him to expand, ultimately catching the eye of Amazon.

When the Amazon deal was completed, HealthCare Dive reported that Amazon now had a network of more than 220 medical offices in 27 U.S. markets with more than 836,000 members plus 9,000 enterprise clients. Neil Lindsay, SVP of Amazon Health Services said, “We’re on a mission to make it dramatically easier for people to find, choose, afford and engage with the services, products and professionals they need to get and stay healthy, and coming together with One Medical is a big step on that journey.” That’s what Amazon does. They make it easy for customers.

Joseph Michelli, bestselling business author of numerous books that tell the stories of iconic brands like The Ritz-Carlton, Starbucks, Mercedes and others, recently released a new book, All Business Is Personal: One Medical’s Human-Centered, Technology-Powered Approach to Customer Engagement, that tells the One Medical story. I had a chance to interview him on Amazing Business Radio, and here are the highlights that will give you some insight into why Amazon became interested in acquiring this amazing company.

Question Everything

Just ask, “Why?” It doesn’t matter what type of business you are in, there are reasons for everything. Often the reason a company or person does something is because “We’ve always done it this way.” So, question everything. Maybe you’ll still do it the way you’ve always done it, but at least you will have tried to find a better way.

Create a Stellar Customer (Patient) Experience

As Lee created a Customer Experience (CX) that drove impressive ratings, he looked at the friction most patients experienced. He started with an obvious pain point, the waiting room, which is, as the name implies, a room for people to wait. Some patients in traditional medical practices are forced to wait for unreasonable amounts of time. But not at One Medical. In addition to being easy to get a same-day or next-day appointment, Michelli shared that 95% of patients are seen within three minutes of their scheduled times. As already mentioned, Lee questioned every aspect of the patient’s experience, and he found many ways to make it better.

Blend Technology with the Human Touch

Technology, like apps and AI, makes life more convenient for customers by allowing things like easy online scheduling or getting immediate answers from AI chatbots. Often, technology can feel cold and impersonal, especially in healthcare. The best use of technology is to make things faster and simpler, but smart businesses, like One Medical, know to offer human backup when a customer/patient needs it. Finding the right balance between tech and the human touch keeps your business from being a commodity—just “another faceless service.”

Convenience Is King

People love doing business with companies that create convenient experiences. For One Medical, this means offering same-day appointments, speedy callbacks or handling many issues online versus the phone, so the patient doesn’t have to wait on hold or wait for a callback. Research shows that 73% of customers will pay more for a convenient experience. The easier you make someone’s experience, the more likely they will come back as well as tell others about you.

Make It Personal, Not Just Personalized

It’s great to remember a customer’s name or recall past purchases. That’s personalization. To take it a step further, make it personal. Make the customer feel that you care about them. That means when the customer (or patient) talks to an employee, they feel cared for, listened to and valued. Personal connections build trust and confidence, which leads to repeat business and potential loyalty.

The Effort Is Worth It

These five reasons (and a few more) are what gave Amazon 3.9 billion reasons (as in dollars) to acquire One Medical. Even if you were to practice these reasons flawlessly, you may never catch Amazon’s attention, but you will catch your customers’ (and potential customers’) attention. And that will make the effort worthwhile.

Image Credits: Pixabay

This article originally appeared on Forbes.com

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Decoding the Code of Life

Human-Centered Innovation in Synthetic Biology

Decoding the Code of Life

GUEST POST from Art Inteligencia

From my vantage point here in Seattle, I’m constantly tracking emerging technologies that hold the potential to reshape our world. One area that consistently sparks my interest, and demands a strong human-centered lens, is synthetic biology. This revolutionary field combines biology and engineering principles to design and build new biological parts, devices, and systems—essentially allowing us to program life itself. While the possibilities are immense, so too are the ethical and societal considerations, making a human-centered approach to its innovation crucial.

Synthetic biology stands at the intersection of several scientific disciplines, leveraging our increasing understanding of genomics, molecular biology, and genetic engineering. It moves beyond simply reading the code of life to actively writing and rewriting it. This capability opens doors to addressing some of humanity’s most pressing challenges, from developing new medicines and sustainable fuels to creating novel materials and revolutionizing agriculture. However, as we gain the power to manipulate the fundamental building blocks of life, we must ensure that our innovation is guided by ethical principles, societal needs, and a deep understanding of the potential consequences.

A human-centered approach to innovation in synthetic biology means prioritizing the well-being of individuals and the planet. It involves engaging with the public to understand their concerns and aspirations, fostering transparency in research and development, and proactively addressing potential risks. It requires us to ask not just “can we do this?” but “should we do this?” and “what are the potential impacts on human health, the environment, and the fabric of society?” This proactive ethical framework is essential for building trust and ensuring that the transformative potential of synthetic biology is harnessed responsibly and for the benefit of all.

Case Study 1: Engineering Microbes for Sustainable Fuel Production

The Challenge: Dependence on Fossil Fuels and Climate Change

Our current reliance on fossil fuels is a major driver of climate change and environmental degradation. Finding sustainable and renewable alternatives is a critical global challenge. Synthetic biology offers a promising pathway by enabling the engineering of microorganisms to produce biofuels from renewable resources, such as agricultural waste or even captured carbon dioxide.

The Innovation:

Companies and research labs are now engineering yeast and algae to efficiently convert sugars and other feedstocks into biofuels like ethanol, butanol, and even advanced hydrocarbons that can directly replace gasoline or jet fuel. This involves designing new metabolic pathways within these organisms, optimizing their growth conditions, and scaling up production in bioreactors. The human-centered aspect here lies in the potential to create a cleaner, more sustainable energy future, reducing our carbon footprint and mitigating the impacts of climate change. Furthermore, these bioproduction processes can potentially utilize waste streams, contributing to a more circular economy.

The Potential Impact:

Successful development and deployment of these bio-based fuels could significantly reduce our dependence on finite fossil fuel reserves and lower greenhouse gas emissions. Imagine fueling our cars and airplanes with fuels produced by engineered microbes, utilizing resources that would otherwise go to waste. This innovation has the potential to create new jobs in biorefineries and contribute to energy independence, while simultaneously addressing a critical environmental need. However, careful consideration of land use, water resources, and the potential for unintended environmental consequences is paramount to ensure a truly sustainable solution.

Key Insight: Synthetic biology offers powerful tools to engineer sustainable solutions to global challenges like climate change, but a human-centered approach requires careful consideration of the entire lifecycle and potential impacts.

Case Study 2: Cell-Based Agriculture for a Sustainable Food System

The Challenge: Environmental Impact and Ethical Concerns of Traditional Animal Agriculture

Traditional animal agriculture has a significant environmental footprint, contributing to deforestation, greenhouse gas emissions, and water pollution. It also raises ethical concerns about animal welfare. Synthetic biology is paving the way for cell-based agriculture, where meat and other animal products are grown directly from animal cells in a lab, without the need to raise and slaughter animals.

The Innovation:

Companies are now developing methods to cultivate animal cells in bioreactors, providing them with the necessary nutrients and growth factors to proliferate and differentiate into muscle tissue, fat, and other components of meat. This “cultured meat” has the potential to drastically reduce the environmental impact associated with traditional farming and address ethical concerns about animal treatment. From a human-centered perspective, this innovation could lead to a more sustainable and ethical food system, ensuring food security for a growing global population while minimizing harm to the planet and animals.

The Potential Impact:

Widespread adoption of cell-based agriculture could revolutionize the food industry, offering consumers real meat with a significantly lower environmental footprint. It could also reduce the risk of zoonotic diseases and the need for antibiotics in animal agriculture. However, challenges remain in scaling up production, reducing costs, and gaining consumer acceptance. Addressing public perceptions, ensuring the safety and nutritional value of lab-grown meat, and understanding the potential socio-economic impacts on traditional farming communities are crucial human-centered considerations for this transformative technology.

Key Insight: Synthetic biology can contribute to a more sustainable and ethical food system through cell-based agriculture, but public engagement and careful consideration of societal impacts are essential for its responsible adoption.

Startups and Companies to Watch

The field of synthetic biology is rapidly evolving, with numerous innovative startups and established companies making significant strides. Keep an eye on companies like Ginkgo Bioworks, which is building a platform for organism design; Zymergen, focused on creating novel materials and ingredients through microbial engineering; Impossible Foods and Beyond Meat, leveraging synthetic biology for plant-based and cell-based meat alternatives; Moderna and BioNTech, who utilized mRNA technology (a product of synthetic biology advancements) for their groundbreaking COVID-19 vaccines; and companies like Pivot Bio, developing sustainable microbial fertilizers. This dynamic landscape is constantly generating new solutions and pushing the boundaries of what’s biologically possible.

As we continue to unlock the power of synthetic biology here in America and around the world, it is imperative that we do so with a strong sense of human-centered responsibility. By prioritizing ethics, engaging with society, and focusing on solutions that address fundamental human needs and environmental sustainability, we can ensure that this remarkable technology truly serves the betterment of humanity.

Disclaimer: This article speculates on the potential future applications of cutting-edge scientific research. While based on current scientific understanding, the practical realization of these concepts may vary in timeline and feasibility and are subject to ongoing research and development.

Image credit: Gemini

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Addressing the Veteran Mental Health Crisis

A New Frontier in Healing for Memorial Day Weekend

Addressing the Veteran Mental Health Crisis

by Braden Kelley and Art Inteligencia

As a nation, we have an enduring obligation to the brave individuals who have served in our military. On this Memorial Day weekend, while we honor their sacrifice, we must also look toward a future where we care for the psychological wounds of war. One of the greatest challenges we face is the veteran mental health crisis, with high rates of PTSD, depression, and suicide. Emerging research suggests that psychedelic treatments could significantly alleviate these conditions, providing a new pathway to healing that we cannot afford to ignore.

Understanding the Crisis

The statistics are alarming. According to the Department of Veterans Affairs (VA), approximately 17 veterans die by suicide every day. Furthermore, the VA estimates that around 15% of Vietnam veterans, 12% of Gulf War veterans, and 11-20% of veterans who served in Operations Iraqi Freedom and Enduring Freedom suffer from PTSD in a given year. Traditional treatments like psychotherapy and pharmacotherapy have proven beneficial for some, but many veterans experience symptoms that persist despite these interventions.

The Promise of Psychedelics

In recent years, researchers have turned their attention to the therapeutic potential of psychedelic substances such as MDMA, psilocybin, and LSD. These substances are showing promise in treating PTSD, depression, and other mental health issues. A landmark study conducted by the Multidisciplinary Association for Psychedelic Studies (MAPS) in collaboration with the VA found that 67% of participants treated with MDMA-assisted therapy no longer met the diagnostic criteria for PTSD after three sessions. This is a groundbreaking finding that cannot be ignored.

Similarly, psilocybin, the active compound in “magic mushrooms,” has shown potential in alleviating depression and anxiety symptoms in numerous studies. A study from Johns Hopkins Medicine demonstrated that psilocybin-assisted therapy resulted in rapid and sustained reductions in depression severity, with effects lasting for weeks and even months. The therapeutic mechanisms of psychedelics, which include altering neural network connectivity and promoting emotional processing, offer a new realm of possibilities for treatment.

Legal and Regulatory Challenges

Despite promising results, the legal status of these substances remains a significant barrier. Classified as Schedule I substances under the Controlled Substances Act, they are currently deemed to have “no accepted medical use.” However, as the evidence base strengthens, there is growing momentum for reevaluating this classification. States like Oregon and cities such as Denver have decriminalized psilocybin, paving the way for broader acceptance and access.

Building a Comprehensive Support System

To address the veteran mental health crisis effectively, we must take a multi-faceted approach:

  1. Policy Revision and Advocacy: It is crucial for policymakers to prioritize the revision of regulations surrounding psychedelics. We need comprehensive legislative efforts to reclassify these substances, allowing for more extensive research and greater accessibility.
  2. Research and Training: Increased funding for research into psychedelic-assisted therapies is essential. Universities, independent research organizations, and the VA should collaborate to expand clinical trials. Alongside research, training programs for mental health professionals must be developed to ensure they are well-equipped to provide these treatments safely and effectively.
  3. Education and Awareness: Public awareness campaigns can help destigmatize mental health and psychedelic treatments. Stories of healing and recovery should be shared, and educational resources must be made available to veterans, their families, and the general public.
  4. Holistic Care Models: Veteran care must incorporate holistic and integrative approaches, including mindfulness, nutrition, and community support, alongside psychedelic treatments. These support systems are vital for sustaining mental health and can multiply the therapeutic effects of psychedelics.
  5. Veteran-Centric Programs: Programs tailored specifically to veterans’ unique experiences and needs should be developed. Peer support systems, where veterans can share their experiences and support one another through healing, can enhance recovery outcomes.

The Role of Community

Community plays a pivotal role in healing. As a nation, we must foster environments that not only support veterans but actively engage them in the healing process. Community centers focused on veteran well-being, alongside integration programs that help veterans transition back into civilian life with purpose and support, can be transformative.

The Moral Imperative

As we commemorate Memorial Day, we must also reflect on our moral duty to those who have served. The veteran mental health crisis is a call to action—an opportunity not only to acknowledge the sacrifices of our military personnel but to invest in their healing and well-being. Psychedelic treatments represent a beacon of hope, backed by rigorous science and positive outcomes. It is essential for us to come together as a society, to push for changes that reflect our commitment to caring for veterans in the most effective and compassionate ways possible.

Conclusion

The journey to mental health recovery for veterans is not an easy one, but it is a journey we must undertake collectively. By embracing innovation and fostering an environment of openness and support, we can lead the way in addressing the mental health crisis that afflicts our veterans. The time to act is now. With courage, compassion, and collaboration, we can chart a course toward healing and honor the legacy of those who have served with dignity and responsibility.

In the spirit of unity and progress, let us stand together to advocate for effective solutions and a brighter future for all veterans. Their healing is our mission. Let us not falter in this duty.


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Image Credit: Microsoft CoPilot

Content Authenticity Statement: Most of the paragraphs in the article were created with the help of OpenAI Playground.

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Six Key Lessons From COVID-19

Six Key Lessons From COVID-19

GUEST POST from Robert B. Tucker

During the fall of 2019, in a lab in Wuhan, China, a cluster of atoms weighing less than one-trillionth of a gram mutated ever so slightly, cascading into the greatest disruption to human life in over a century. COVID-19 would go on to the lives of over 20 million people worldwide and over a million in the United States.

In a matter of months, the coronavirus had reshaped our world. It forced us indoors, upended economies, and brought suffering and loss to millions. It exposed cracks in our systems and magnified existing inequalities. And it tested the leadership of institutions, governments, and businesses.

Yet amidst the upheaval, it also accelerated innovation in vaccine development, proved the potential of global collaboration, and offered valuable lessons—lessons we dare not ignore.

Five years on, with the benefit of hindsight, what lessons did we learn from the Covid Crisis? What are the takeaways? What ideas can we carry forward? And how can we better prepare for next time? Here are six enduring lessons that the pandemic offers:

1. COVID-19 United Us at First But Divided Us at last.

According to a recent Pew survey, seventy-two percent of Americans believe COVID-19 did more to drive the country apart than to bring it together. Trust in government plummeted to a new low. In Covid’s Wake: How Our Politics Failed Us, a new book that reviews the crisis, concludes that the scientific community overestimated the dangers of the virus and stifled dissenting scientific opinion. Models were designed solely to reduce deaths, failing to include other criteria, such as the effects of social isolation on children’s mental health. Locking down at the pandemic’s start may have been necessary, say these authors, but continuing the lockdowns for so long created lasting hardship and divisions.

Key takeaway: In a politically polarized era, one-size-fits-all health mandates from the National Institute of Health must be avoided. Public trust must be maintained, and local control ensured.

2. Resilience Is No Longer a Luxury—It’s a Necessity.

When COVID-19 struck, organizations and individuals who demonstrated resilience – did best. They exhibited the ability to keep calm, remain flexible, and adapt readily, and weathered the storm far better than those who went into denial mode or dismissed COVID-19 as a hoax or government conspiracy. When supply chains buckled, when health officials enforced lockdowns, organizations that had invested in contingency planning and crisis management demonstrated resilience and staying power.

Key takeaway: Leaders who encouraged experimentation found the path forward. Those that did not floundered and went out of business. Individuals who cultivated a learning mindset, continuously monitoring and following the latest directives, kept functioning and recovered faster.

3. Health Security Is National Security.

In a 2015 TED Talk, Bill Gates warned that the greatest threat to humanity would come “not from a missile but a microbe.” Before the pandemic, a cascade of warnings went unheeded. In 2019, White House economists warned that a pandemic could devastate America. As the pandemic unfolded, delayed responses, magical thinking, mixed messages, and lack of coordination cost precious time and countless lives.

Before COVID-19, most thought little about public health infrastructure or infectious disease modeling. COVID-19 made clear that underinvesting in public health is not just a medical risk but a geopolitical and economic risk as well. In today’s interconnected world, a virus emerging in one corner of the globe can bring entire economies to a halt and overwhelm healthcare systems thousands of miles away.

Key takeaway: Investments in early warning systems, stockpiling of essential medical supplies, and better international coordination must be considered strategic imperatives, not budget line items. Health security is just as important as military security.

4. Inequality Doesn’t Disappear in Crisis—It Gets Exposed.

While the virus itself was biologically impartial, its impacts were anything but. Marginalized and vulnerable communities bore the brunt of both the health and economic fallout. Disparities in access to healthcare, employment protections, digital connectivity, and even clean air and water became painfully visible.

Essential workers—once taken for granted—emerged as the backbone of society. Grocery clerks, delivery drivers, sanitation workers, and healthcare aides kept our systems running while risking their own health. For a brief moment, the conversation around equity and inclusion gained renewed urgency.

Key takeaway: The challenge now is to act on that awareness going forward. The post-pandemic world must actively work to close gaps, not widen them, because, in the next crisis, those disparities will come back to haunt us all over again.

5. Innovation Is Our Lifeline in Crisis, and in the Future We Create.

In the darkest days of the pandemic, human ingenuity shined. Scientists across borders collaborated at unprecedented speeds to develop vaccines using novel mRNA technology. Educators adapted to online teaching. Companies retooled their operations, launched new services, and shifted to digital business models practically overnight.

The rapid rise of video-conferencing tools transformed the workplace and accelerated the remote work revolution. Long-standing barriers to telemedicine were swept away, and the technology sector didn’t just survive; it became a vital infrastructure for continuity.

Key takeaway: Innovation wasn’t optional in meeting the Covid-19 criai—it was oxygen. And the systems that encouraged experimentation, rapid iteration, and bold thinking fared better. The lesson is clear: we must nurture innovation not just in emergencies but as a daily discipline.

6. Leadership in Times of Crisis Reveals Character

Every crisis is a test of leadership. COVID-19 revealed which leaders were prepared and which were not. Some communicated clearly, showed empathy, and made smart decisions that saved lives and stabilized communities. Others disappeared, floundered, delayed, denied, or deflected—often with tragic consequences.

Effective crisis leadership wasn’t about knowing all the answers. It was about asking the right questions, adapting quickly, and staying in touch with stakeholders. The best leaders demonstrated transparency, built trust, and showed compassion. The worst fueled division and confusion and stoked fear.

Key Takeaway: Leadership in crises reveals who we really are. The next disruption—whether from climate disaster, cyberattack, nuclear fallout, or global pandemic—won’t wait for us to prepare. Preparedness is a mindset we must cultivate for the times in which we suddenly find ourselves living.

This article originally appeared in Forbes

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The Breakthrough Lifecycle

The Breakthrough Lifecycle

GUEST POST from Greg Satell

Many experts suspect that the COVID crisis is receding into the background. It is, of course, hard to know for sure. There will continue to be debate and we will still need to have some mitigating measures in place. Still, for the most part, people are back at work, kids are in school, and relatively normal routines have returned.

Generations from now, historians will most likely still question what lessons are to be gleaned from the past few years. Should we strengthen our multilateral institutions or have they become so sclerotic that they need to be dismantled? Is the rise of populist nationalism a harbinger for the future or a flash in the pan?

One thing I don’t expect to be hotly debated, in fact seems perfectly clear even now, is that science saved us. Untold thousands, working mostly anonymously in labs around the world, created a vaccine of astonishing efficacy in record time. It is these types of breakthroughs that change the course of history and, if we can embrace their power, lead us to a better future.

A Seemingly Useless Idea

The MRNA technology that led to the Moderna and Pfizer-BioNTech vaccines have the potential to revolutionize medical science. It can rapidly reprogram the machinery in our cells to manufacture things that can potentially cure or prevent a wide range of diseases, from cancer to malaria, vastly more efficiently than anything we’ve ever seen before.

Yet while revolutionary, it is not at all a new idea. In fact Katalin Karikó, who pioneered the approach, published her first paper on mRNA-based therapy way back in 1990. Unfortunately, she wasn’t able to win grants to fund her work and, by 1995, things came to a head. She was told that she could either direct her energies in a different way, or be demoted.

This type of thing is not unusual. Jim Allison, who won the Nobel Prize for his work on cancer immunotherapy, had a very similar experience when he had his breakthrough, despite having already become a prominent leader in the field. “It was depressing,” he told me. “I knew this discovery could make a difference, but nobody wanted to invest in it.”

The truth is that the next big thing always starts out looking like nothing at all. Things that really change the world always arrive out of context for the simple reason that the world hasn’t changed yet.

Overcoming Resistance

Humans tend to see things in a linear fashion. It is easier for us to imagine a clear line of cause and effect, like a row of dominoes falling into each other, rather than a series of complex interactions and feedback loops. So it shouldn’t be surprising that, in hindsight, breakthrough ideas seem so obvious that only the most dim-witted would deny their utility.

When we think of something like, say, electricity, we often just assume that it was immediately adopted and the world simply changed overnight. After all, who could deny the superiority of an efficient electric motor over a big, noisy steam engine? Yet as the economist Paul David explained in a famous paper, it took 40 years for it to really take hold.

There are a few reasons why this is the case. The first is switching costs. A new technology almost always has to replace something that already does the job. Another problem involves establishing a learning curve. People need to figure out how to unlock the potential of the new technology. To bring about any significant change you first have to overcome resistance.

With electricity, the transition happened slowly. It wouldn’t have made sense to immediately tear down steam-powered factories and replace them. At first, only new plants used the electricity. Yet it wasn’t so much the technology itself, but how people learned to use it to re-imagine how factories functioned that unlocked a revolution in productivity gains.

In the case of mRNA technology, no one had seen a mRNA vaccine work, so many favored more traditional methods. Johnson & Johnson and AstraZeneca, for example, used a more traditional DNA-based approach using adenoviruses that was much better understood, rather than take a chance on a newer, unproven approach.

We seem to be at a similar point now with mRNA and other technologies, such as CRISPR. They’ve been proven to be viable, but we really don’t understand them well enough yet to unlock their full potential.

Building Out The Ecosystem

When we look back through history, we see a series of inventions. It seems obvious to us that things like the internal combustion engine and electricity would change the world. Still, as late as 1920, roughly 40 years after they were invented, most American’s lives remained unchanged. For practical purposes, the impact of those two breakthroughs were negligible.

What made the difference wasn’t so much the inventions themselves, but the ecosystems that form around them. For internal combustion engines it took a separate networks to supply oil, to build roads, manufacture cars and ships and so on. For electricity, entire industries based on secondary inventions, such as household appliances and radios, needed to form to fully realize the potential of the underlying technology.

Much of what came after could scarcely have been dreamed of. Who could have seen how transportation would transform retail? Or how communications technologies would revolutionize warfare? Do you really think anybody looked at an IBM mainframe in the 1960s and said, “Gee, this will be a real problem for newspapers some day?”

We can expect something similar to happen with mRNA technology. Once penicillin hit the market in 1946, a “golden age” of antibiotics ensued, resulting in revolutionary new drugs being introduced every year between 1950 and 1970. We’ve seen a similar bonanza in cancer immunotherapies since Jim Allison’s breakthrough.

In marked contrast to Katalin Karikó’s earlier difficulty in winning grants for her work, the floodgates have now opened as pharma companies are now racing to develop mRNA approaches for a myriad of diseases and maladies.

The Paradox Of New Paradigms

The global activist Srdja Popović once told me that when a revolution is successful, it’s difficult to explain the previous order, because it comes to be seen as unbelievable. Just as it’s hard to imagine a world without electricity, internal combustion or antibiotics today, it will be difficult to explain our lives today to future generations.

In much the same way, we cannot understand the future through linear extrapolation. We can, of course, look at today’s breakthroughs in things like artificial intelligence, synthetic biology and quantum computing, but what we don’t see is the second or third order effects, how they will shape societies and how societies will choose to shape them.

Looking at Edison’s lightbulb would tell you nothing about radios, rock music and the counterculture of the 60s, much like taking a ride in Ford’s “Model T” would offer little insight into the suburbs and shopping malls his machine would make possible. Ecosystems are, by definition, chaotic and non-linear.

What is important is that we allow for the unexpected. It was not obvious to anyone that Katalin Karikó could ever get her idea to work, but she shouldn’t have had to risk her career to make a go of it. We’re enormously lucky that she didn’t, as so many others would have, taken an easier path. It is, in the final analysis, that one brave decision that we have to thank for what promises to be brighter days ahead.

All who wander are not lost.

— Article courtesy of the Digital Tonto blog
— Image credits: Pixabay

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Innovation or Not – The Microdosing Revolution

Innovation or Not - The Microdosing Revolution

GUEST POST from Art Inteligencia

In recent years, the concept of microdosing has moved from the fringes of alternative therapy into the mainstream as a potential tool for enhancing mental performance and wellness. But is microdosing truly an innovation, or is it a passing trend destined for the annals of speculative practices? Through examining its revolutionary potential and analyzing its impact in real-world scenarios, we can better understand the role microdosing plays in our continuous pursuit of human-centered innovation.

Understanding Microdosing

Microdosing typically involves taking sub-perceptual doses of psychedelics, like LSD or psilocybin, approximately one-tenth of a recreational dose, to experience the potential therapeutic benefits without hallucinogenic effects. Advocates claim it can boost creativity, alleviate anxiety, and improve focus, leading to its rising popularity among entrepreneurs, artists, and the tech-savvy.

Case Study 1: Microdosing in Silicon Valley

In the competitive landscape of Silicon Valley, professionals are constantly seeking a competitive edge to enhance productivity and creativity. The tech hub has notably become a breeding ground for experimentation with microdosing. Tech workers claim the practice helps them to sustain high levels of innovation and problem-solving abilities in an environment where mental agility is highly prized.

For instance, a significant number of software developers and startup founders have reported that microdosing has supported cognitive function and stress reduction, leading to improved workplace performance and job satisfaction. Companies have begun embracing wellness practices, subtly endorsing microdosing as part of a broader strategy to cultivate employee well-being and foster an innovative work culture.

Case Study 2: Microdosing in Mental Health Treatment

Beyond corporate environments, microdosing has gained attention as a potential revolutionary approach in mental health treatment. Psychedelics-assisted therapy research has opened up dialogues about microdosing’s efficacy as a treatment for mood disorders and PTSD. Leading institutions are exploring the controlled use of microdoses as an adjunct to traditional therapies.

A pilot study conducted at a renowned university evaluated the impact of psilocybin microdosing on patients with treatment-resistant depression. Preliminary findings suggest a marked improvement in mood stabilization and cognitive flexibility among participants, renewing hope for alternative approaches in mental health treatment. This study has prompted further research and dialogue within the medical community, transforming discussions around treatment paradigms.

Case Study 3: Brez Beverages – Microdosing in the Consumer Market

Brez Beverages, a pioneering player in the beverage industry, has embraced the microdosing revolution by developing a line of drinks infused with adaptogenic and nootropic compounds. Their products aim to provide consumers with the benefits of microdosing in a more accessible and socially acceptable format.

Brez Beverages

The innovative approach of Brez Beverages lies in their ability to tap into the growing desire for wellness-centric consumer products. By integrating microdosed elements into beverages, they offer a unique alternative for individuals seeking mental clarity and stress reduction without committing to psychedelic substances. Brez Beverages represents a shift in how microdosing concepts can be commercialized and introduced to mainstream consumers.

Market feedback indicates a burgeoning interest among health-conscious customers who are drawn to the idea of enhancing their daily lives with subtle botanical blends, thus carving a new niche in the health and wellness sector. Brez continues to capitalize on the demand for unconventional health solutions, reflecting both the challenge and potential of integrating microdosing into consumer products.

The Verdict: Innovation or Not?

Whether microdosing is labeled as an innovation largely depends on one’s perspective. On one hand, it presents a novel application of existing compounds, showcasing unconventional problem-solving in enhancing human potential—an experimental departure from typical wellness and therapeutic practices. On the other hand, its lack of universal acceptance and scientific consensus makes it a contentious archetype of modern self-experimentation rather than unmistakable innovation.

In conclusion, microdosing embodies the dynamic nature of innovation—provocative yet promising. As we push the boundaries of what’s possible in the human experience, microdosing remains an emblem of the desire to enhance and evolve our capabilities. Whether it stands the test of time will depend on ongoing research, legal structures, and societal acceptance, but it undoubtedly shapes the current discourse on potential pathways for human-centered transformation.

Image credit: DrinkBrez.com, Pexels

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