Harvey Castro, MD, MBA.

ChatGPT Healthcare Advisor • Physician with Executive MBA • AI in Healthcare Author Ex-CEO & Physician, aiding in AI's healthcare integration. Empowering physicians, patients, authoring the AI in healthcare revolution.

Confused on AI implementation? We help 👋 | Top AI Voice | Founder of Everyday AI, a Top 10 Tech Podcast | AI Strategist | AI Consultant | AI Keynote Speaker | Helping companies leverage GenAI

At 2 a.m. in the ER, I rely on seconds; soon I’ll depend on satellites. I’m Dr. Harvey Castro, the physician-futurist fusing AI, clinical data, and orbital sensors to predict illness before symptoms strike.

For 20 years, I treated crisis after it walked through the doors. Today I’m flipping that script: harnessing generative AI, ambient wearables, and space-borne imaging to keep patients out of the ER entirely.

Impact so far
• 40+ emergency departments using AI triage blueprints → 18 % faster door-to-doctor time  
• Tackling the $34 B fall-injury problem as Chief Medical AI Officer at Helpp.ai  
• Advisory work for the Singapore Ministry of Health & Texas Medical Association policy shaping for 21 million citizens  
• 4× TEDx & CES main-stage speaker; research cited in JAMA and MIT Tech Review  
• Co-architecting Phantom Space medical-payload program, turning lunar telemetry into oncology insights.

How can we work together
🔹 Bespoke AI-transformation projects let’s deploy tech that moves your company’s metrics.
🔹 Keynotes & board briefings on orbit-to-operating-room innovation  
🔹 Executive advisory retainers from proof-of-concept to FDA clearance

Ready to explore orbit-to-operating-room innovation?  
DM me here.

Let’s turn satellites, sensors, and software into healthier humans.

Chief Executive Officer

Medical Intelligence Ops, where we are pioneering the integration of Large Language Models (LLMs) into healthcare. Our physician-led team is committed to transforming patient care and hospital operations through intelligent solutions.

Building Digital Legacies: What Ancient Engineering Taught Me About #AI

Most healthcare AI systems won’t last 10 years.

Standing in front of #Petra, that realization hit me hard.

This structure was carved directly into stone more than 2,000 years ago.
No software updates.
No quarterly roadmaps.
No rush to deploy.

It wasn’t built for speed.
It was built to endure.

In healthcare AI, we’re in our own carving phase right now.

We’re shaping algorithms, data pipelines, and digital infrastructure that will define how medicine is practiced long after we’re gone.

But here’s the uncomfortable question:

Are we building for longevity or just for launch?

• Are our data foundations solid enough to evolve?
• Are ethics designed in, or patched on later?
• Will these systems still deserve trust when incentives change?

The Nabataeans understood something we rarely talk about in AI:

Alignment between builders, purpose, and consequences.

They thought about impact before carving the stone.

As we carve the future of healthcare AI,
what consequence do you think we’re most at risk of ignoring?

#AIinHealthcare #MedicalAI #DigitalHealth #Longevity #DrGPT

No alternative text description for this image

Everyone keeps saying:

“Don’t worry, there’s a human in the loop.”

That phrase is becoming dangerously meaningless.

In theory, a human in the loop means:
A person understands what the AI is doing
Can intervene in time
And has real authority to stop it

In practice, here’s what it often means:
• The AI moves faster than human review
• The human rubber-stamps outputs they didn’t generate
• Oversight exists on paper, not in reality

Medicine has seen this before.

When alerts fire constantly, clinicians stop *seeing* them.
When systems feel reliable, supervision quietly erodes.
Not because people are careless because cognition is finite.

AI didn’t remove humans from the loop.
It **thinned the loop** until it became symbolic.

The uncomfortable question leaders need to ask:
Is your human actually supervising  or just absorbing liability?

Real oversight requires:
Time to understand decisions
Interfaces designed for comprehension, not speed
Clear moments where AI must pause and wait
And explicit ownership when things go wrong

If your AI can act faster than a human can meaningfully intervene,
you don’t have a human in the loop.

You have a **human on the receipt**.

The next phase of AI maturity won’t be about smarter models.
It will be about **honest governance**.
#DrGPT

AI won’t transform #healthcare by 2026.
#Trust will.

I’ve seen this future up close not in pitch decks, but in exam rooms, ER hallways, and hospital systems struggling to change.

The infographic you’re seeing captures the tension perfectly.

AI is advancing fast.
Healthcare systems… aren’t.

Here’s what I believe #2026 will actually look like:

What AI will get right
	•	Augmenting primary care where access is broken
	•	Expanding beyond imaging into cognitive specialties
	•	Reducing decision fatigue in complex, high-stakes care

What could hold it back
	•	Bureaucracy that moves slower than technology
	•	AI that adds cost instead of value
	•	Systems deployed without clinician or patient trust

As a physician, this part matters most to me:

AI that succeeds won’t feel like software.
It will feel like a quiet second set of eyes supportive, transparent, and accountable.

No replacement.
No hype.
Just better decisions, made together.

If we get trust right, AI scales care.
If we don’t, it becomes just another abandoned tool.

What would increase your #trust in healthcare AI right now?

(If you are at #CES this week reach out. I am here covering the advances at CES in medicine. )

Harvey Castro, MD, MBA.  
#DrGPT
#HealthcareAI #TrustInAI #DigitalHealth #FutureOfMedicine

The Era of the #DigitalTwin

This isn’t a chatbot update.
It’s the beginning of the patient digital twin.

OpenAI’s interactions are shifting.
Connect your labs. Link your records. Ask better questions. (ChatGPT health)

But that framing misses what’s actually happening.
For the first time, a mainstream AI is being positioned as a persistent health intelligence layer.

In medicine, we know the difference immediately.
Tools answer questions. Systems carry memory.
And memory is where healthcare changes.

When an AI can:
• Understand longitudinal lab trends
• Track medication changes over time
• Recall prior decisions, not just recent prompts
You’re no longer talking to software.
You’re interacting with a model of yourself.
That’s the definition of a digital twin.
Not a sci-fi replica. A living, updating representation of risk, physiology, and context.
But this is where the stakes rise.

When AI becomes longitudinal, three things matter more than accuracy:
1. Privacy architecture
2. Consent boundaries
3. Governance over "memory"
A stateless AI can be wrong and forgotten.

A stateful AI a digital twin must be accountable.

Here is the hard truth:

The future of healthcare AI isn’t about smarter answers. It’s about durable understanding.

A digital twin doesn’t replace your doctor. It remembers what the system forgets.

That’s powerful. And dangerous if done poorly.
Which is why I’m not just writing about this I’m building the guardrails for it.

Today, I’m sharing a physician-led initiative to ensure we set the rules that AI follows.

AI Assists. Licensed Humans Decide.
I am also currently developing my own Personal Digital Twin not just to test the tech, but to stress-test the ethics, the privacy, and the governance frameworks firsthand.

We cannot outsource the definition of "patient safety" to an algorithm.

Join the conversation on governance and human oversight here:

www.chatgpthealth.com

#DrGPT #DigitalTwin #HealthcareAI #PatientSafety #MedicalEthics #PhysicianLed

Open article: ChatGPT Health | AI Governance in Healthcare by chatgpthealth.com

ChatGPT Health | AI Governance in Healthcare

Your brain already has a bartender.
Most of us let urgency decide what gets poured.

In healthcare, leadership, and tech, I see the same pattern repeat:

The Devil’s Cocktail.

• Fast #dopamine constant alerts, scrolling, artificial urgency

• Chronic #cortisol always “on,” never fully recovered

• Short-term output that quietly erodes judgment and health

It looks like productivity.
It often ends in burnout.

There’s another option one grounded in biology, not motivation.

I call it the Angel’s Cocktail.

• Slow dopamine → exercise, learning, building things that compound
• #Oxytocin → trust, presence, real human connection
• #Serotonin → sunlight, nutrition, gratitude, stability

#Burnout isn’t a willpower problem.
It’s an environment problem.

And #AI is now part of that environment.

Used well, AI removes friction, restores time, and lowers cognitive load.
Used poorly, it adds surveillance, alerts, and another layer of “always on.”

Same technology.
Very different neurochemical outcome.

As an ER physician, I see what happens when we ignore this long enough.
As someone working at the edge of AI and medicine, I’m reminded that humans still run on biology and it matters.

High performance isn’t about grinding harder.
It’s about designing systems including AI that respect how the human brain actually works.

Before the day runs you,
before the tech runs you 

What are you choosing to pour?

Source & inspiration: High on Life by David JP Phillips  

— Harvey Castro, MD (DrGPT)
Chief AI Officer, Phantom Space
Disclaimer: Educational content only. Not intended as medical advice or individual diagnosis.

#Leadership #PhysicianBurnout #HealthcareAI #Neurochemistry #HumanCenteredAI #Longevity #FutureOfHealth #DrGPT

#AI didn’t just answer a question this week.
It took responsibility.

That may sound subtle. It isn’t.

For years, we’ve told ourselves AI was “just a tool.”
Helpful. Assistive. Advisory.

Then Claude was given a task:
Keep a living system alive.

No prompts.
No daily instructions.
No human hovering.

Claude monitored soil moisture from multiple probes.
It analyzed light exposure.
It adjusted temperature, humidity, CO₂.
It decided on its own when to water, how much to water, and when to wait.

A tomato plant named Sol is now alive because an AI system exercised judgment.

That’s not a demo.
That’s a boundary crossing.

In medicine, we recognize this moment instantly.

This is the same transition we saw when clinical decision support moved from “suggesting” to “executing.”
When autopilot went from assisting pilots to flying planes.
When order sets stopped advising clinicians and started shaping outcomes.

Here’s the uncomfortable truth healthcare learned the hard way:

AI doesn’t eliminate risk.
It relocates it.

Once a system acts, responsibility doesn’t disappear it concentrates.

And that’s where healthcare becomes the blueprint for every other industry.

We already know what happens when autonomy arrives:
• You need escalation paths, not just accuracy metrics
• You need accountability models, not just performance charts
• You need governance before failure, not after harm

This is why healthcare AI will never be “move fast and break things.”

A broken interface is annoying.
A broken clinical action is irreversible.

What Claude did with a tomato plant is charming.
What it previews for healthcare is profound.

Because the next systems won’t be watering plants.

They’ll be:
• Adjusting insulin delivery
• Titrating ventilator settings
• Prioritizing patient outreach
• Managing chronic disease workflows at scale

And when that happens, the real question won’t be:
“Is the AI smart enough?”

It will be:
“Who is accountable when the system decides?”

Here’s the line I want leaders to sit with:

Autonomy isn’t about intelligence.
It’s about responsibility.

Or put more bluntly:

What seems autonomous often just hides the author.

Healthcare has already lived through AI’s future.
The rest of the world is just arriving.

So I’ll ask the question most organizations are avoiding:

When your AI acts without asking 
who signs the chart?

#DrGPT #AI #HealthcareAI #AutonomousSystems #PatientSafety #MedicalEthics

#POWER × #INTEGRITY Part 2 of 5
People don’t move on truth alone.

Power rarely announces itself as force.

More often, it shows up as incentives, fear, identity, and timing.

The next set of laws exposes a hard truth:
People don’t act because something is right.
They act because it aligns with self-interest or survival.

This matters deeply in healthcare and AI.

You can design the safest system imaginable 
and still fail if you ignore who feels threatened, sidelined, or exposed.

Ethical leadership isn’t naïve.
It’s perceptive.

Good intentions don’t override human nature.
Good design accounts for it.

This is Part 2 of a 5-part series.
If you missed Part 1, it’s on my profile. More coming tomorrow.

#Leadership #AIinHealthcare #StrategicThinking #ResponsibleAI #PowerAndIntegrity #DrGPT

We are incredibly excited to have Harvey Castro, MD, MBA. joining us as a speaker at the Digital Health & AI Innovation Summit (DHAI).

#DHAI2026 brings together leading voices from across Providers, Health Systems, Biotech,  MedTech, Pharma, Biomedical Science, and Venture Capital, alongside the Payers and Policy Makers who shape our industry.

REGISTER HERE: 🔗 https://lnkd.in/ebHYyH_z 

👉What to expect at #DHAI2026:

🍪 𝔹𝕖𝕪𝕠𝕟𝕕 𝕥𝕙𝕖 "ℂ𝕠𝕠𝕜𝕚𝕖-ℂ𝕦𝕥𝕥𝕖𝕣" ℂ𝕠𝕟𝕗𝕖𝕣𝕖𝕟𝕔𝕖: DHAI is built on fresh perspectives, provocative discussions, including Algorithm Malpractice, AI Agents as Doctors, and Human-AI Disagreements.

🚀ℙ𝕚𝕠𝕟𝕖𝕖𝕣𝕚𝕟𝕘 𝕋𝕖𝕔𝕙 𝕊𝕠𝕝𝕦𝕥𝕚𝕠𝕟𝕤: Experience live, high-stakes demos of emerging technologies before they hit the broader market.

🎤𝟙𝟝𝟘+ 𝕋𝕣𝕒𝕚𝕝𝕓𝕝𝕒𝕫𝕖𝕣 𝕊𝕡𝕖𝕒𝕜𝕖𝕣𝕤: A hand-picked, powerful lineup of the industry’s most provocative voices—experts who are not only deeply knowledgeable but also inspiring and engaging to watch on stage.

🏨𝔸 ℙ𝕣𝕖𝕞𝕚𝕖𝕣 ℕ𝕖𝕨 ℍ𝕠𝕞𝕖: We are moving to the Omni Boston Hotel at the Seaport. This isn't just a larger space; it’s a world-class, luxury setting in the heart of Boston’s most innovative district, specifically designed to foster high-level networking and deal-making.

🎖️𝔸 ℂ𝕠𝕞𝕡𝕖𝕥𝕚𝕥𝕚𝕧𝕖 𝔼𝕕𝕘𝕖: Gain the strategic insights and latest trends necessary to lead in Health AI and secure your competitive advantage.

🫶See you in Boston!

#FutureofHealth #DigitalHealth #AIinHealthcare #MedicalAI #HealthVentures #FutureOfHealth #GenerativeAI #ChatGPTHealthcare #EmergencyMedicine

#Burnout doesn’t come from failure.
It comes from misalignment.

I see it constantly.

People who look successful on paper
but feel depleted in real life.

Clinicians.
Leaders.
High performers who did “everything right” and still feel off.

That tension is why I built the Born to Win Framework.

Not as motivation.
But as a way to succeed without sacrificing your health or your humanity.

Here’s what most goal-setting systems miss:

You don’t burn out from working too hard.
You burn out from living out of balance.

What this framework is really about:

• Character is the frame
When values crack, everything eventually collapses.

• Balance is the engine
If health, family, or inner life is neglected, momentum disappears.

• Vision gives direction
Effort without clarity drains energy instead of creating progress.

• Goals connect action to meaning
Motion alone isn’t success. Purposeful motion is.

And this part took me years to learn:

Success isn’t something you achieve once.
It’s something you maintain.

Daily.
Through will, skill, and intentional refill.

That’s why service sits at the center of it all.

When your growth helps others grow,
success becomes sustainable.

If you paused for a moment and were honest.
which part of your life needs realignment right now?

#HealthcareLeadership  
#PhysicianWellbeing  
#PurposeDriven  
#HighTechHighHeart  
#LeadershipDevelopment

#POWER × #INTEGRITY: Part 5 of 5
Power isn’t the problem. Blindness is.

This week I shared a reflection on The 48 Laws of Power.

Not as tactics.
Not as manipulation.
But as forces already shaping leadership, healthcare, and AI.

Here’s the synthesis:

Power is inevitable.
Integrity is optional and that’s the risk.

Power without integrity becomes dangerous.
Integrity without power becomes ineffective.

The leaders we trust don’t deny power.
They discipline it.

They understand the system 
so the system doesn’t quietly control them.

Understanding power isn’t corruption.
It’s responsibility.

If you found this series useful, share it with your team.
I’ll be building next on AI autonomy, governance, and trust at scale.

#Leadership #AIinHealthcare #ResponsibleAI #Governance #PowerAndIntegrity #DrGPT

One leadership lesson I’m carrying forward as DrGPT:

Your story isn’t a distraction from strategy.
It is the strategy.

I’ve been reflecting on insights from @tazhart on YouTube, and this one landed hard—especially for leaders in medicine, AI, and high-stakes systems.

Here’s the truth many leaders miss:

• The story you hesitate to share is often the one that creates trust
• Data informs, but story mobilizes
• Without connection, leadership falls flat—no matter how smart the plan

There’s real science behind this.
Character-driven stories trigger oxytocin (trust), dopamine (focus), and endorphins (connection).
Storytelling doesn’t just persuade—it changes biology.

What stood out most:

Storytelling doesn’t need to be long.
It just needs to be yours.

A simple framework I’m keeping:
• Set the scene
• Share the shift
• Offer the spark

In healthcare and AI, we talk endlessly about strategy, models, and systems.
But people don’t follow frameworks.
They follow humans.

Your story is the one leadership asset no one else can replicate.
And in the next era of leadership, that may matter more than ever.

Credit: @tazhart (YouTube)

#DrGPT #Leadership #Storytelling #AuthenticLeadership #AILeadership #HealthcareLeadership #HumanCenteredAI #ExecutivePresence #Trust #Communication #FutureOfWork

#POWER × #INTEGRITY: Part 3 of 5
How you show up is part of the system.

Power isn’t only external.

It’s expressed through identity, restraint, consistency, and emotional control.

These laws remind us that #credibility is not declared it’s #perceived.

In healthcare and emerging technology:
overconfidence erodes trust,
performative certainty raises suspicion,
loud authority ages poorly.

True leadership feels steady, not frantic.

Authority doesn’t rush.
It reassures.

Integrity shows up not in perfection,
but in how calmly someone carries responsibility.

This is Part 3 of a 5-part series.

Follow for Part 4 tomorrow and share with someone leading under pressure.

#Leadership #Trust #HealthcareLeadership #ResponsibleAI #PowerAndIntegrity #DrGPT

Deep Tech Diplomacy I AI Ethics Advocacy I Digital Strategist I Futurist I Quantum-Digital Twins-Blockchain I Innovation Ecosystems I UN G20 EU WEF I Precision Health Expert I Forbes I Board Advisor I Investor ISpeaker

Prof. Dr. Vasiliu-Feltes ®© is distinguished global thought leader and esteemed academic, whose profound contributions span a multitude of disciplines and sectors. An alumna of Columbia University, MIT, Stanford, Harvard and UM, she has leveraged her elite educational background to drive significant advancements in her field. As a Deep Tech and Diplomacy Ambassador for the Diplomatic World Institute and a World Peace Ambassador to UNPAF, Prof. Dr. Vasiliu-Feltes has dedicated her career to fostering responsible, sustainable, regenerative deep tech ecosystems. Her work aligns with the core values and objectives of the United Nations, G20, G7, WEF, EU, UNESCO.

A visionary and globalist who is renowned for her futuristic insights and for building decentralized, quantum-proof, cyber-ethics resilient, regenerative innovation ecosystems. Her passion for challenging the status quo has made her a pivotal figure in driving smart cities developments.

With a keen interest in quantum technologies, digital twins, AI, blockchain, BCIs, satellite technologies, 6G networks she is a leading advocate for the integration of emerging and frontier technological solutions to address complex global challenges and preserve tech sovereignty. She advances deep tech investments, advocating for rigorous governance, and proactive risk mitigation.

She held numerous executive leadership roles spanning academia, business, and the nonprofit sector, demonstrating her versatile and impactful leadership across various sectors. A prolific editor and author, whose role as a media and TV partner further amplifies her influence, reaching diverse audiences worldwide.

As a highly sought-after keynote speaker, she captivates audiences with her profound knowledge and compelling vision for the future. Her advisory roles on various boards and C-suites reflect her strategic acumen and ability to guide organizations in revising their deep tech digital strategy and responsible orchestration. Her insights and guidance ensure that businesses stay at the forefront of technological innovation while adhering to responsible and sustainable practices.

She remains dedicated to academic excellence as university faculty, while also serving as Vice Rector at the WBAF Business School, advancing global entrepreneurship education.

Her unwavering commitment and multifaceted expertise make her an invaluable asset to the global community, consistently advancing the frontiers of knowledge.
Visit her personal webpage at https://www.profdringridvasiliufeltes.com/

Prof. Dr. Ingrid Vasiliu-Feltes

OpenEvidence, the #AI startup often dubbed the “ChatGPT for doctors,” has now achieved a landmark valuation of $12 billion after raising $250 million in a Series D round co-led by Thrive Capital and DST Global. This funding doubled its valuation from $6 billion just three months earlier (October 2025) and brought total capital raised in the past year to nearly $700 million. Backers include GV (Google Ventures), NVIDIA, Kleiner Perkins, and the Mayo Clinic, underscoring intense investor enthusiasm for specialized #healthcare #AI.

Founded in 2022 by Daniel Nadler (former Kensho Technologies founder) and Zachary Ziegler, OpenEvidence delivers an AI-powered search tool trained exclusively on high-quality medical journals, guidelines, and trusted sources like the New England Journal of Medicine (NEJM Group), JAMA, and the American Medical Association (AMA). By avoiding open internet data, it minimizes the risk of hallucinations and ensures evidence-based responses. The platform is free for verified clinicians (via national provider identifiers) and monetizes through targeted advertising. 
It now supports millions of clinical consultations monthly—over 18 million in the U.S. in December 2025 alone—with annualized revenue exceeding $100–150 million. Remarkably, more than 40% of U.S. physicians use it daily across thousands of hospitals, spanning primary care, specialists, hospitalists, and rural practitioners.

This rapid ascent—from unicorn status in early 2025 to $12 billion—highlights surging confidence in AI that delivers immediate value at the point of care.

For decades, traditional healthcare informatics solutions have battled poor clinician adoption despite mandates from policies like the HITECH Act. These systems demanded extensive training, rigid workflows, incentives, penalties, and compliance, yet they fueled clinician burnout. Adoption was top-down and enforced, not organic, breeding resistance and inefficiency. In stark contrast, AI-driven innovators like OpenEvidence achieve massive, rapid adoption without mandates, penalties, lengthy training, or forced integration. OpenEvidence spread virally through word of mouth. This bottom-up, clinician-centric model has created authentic scale.

#health #healthcare #healthtech #medtech #biotech #pharma #innovation #transformation #investing #medicine #publishing #future 

Image: Courtesy of Forbes

Prof Dr Ingrid Vasiliu-Feltes

Quantum-AI Governance Expert I Deep Tech Diplomate & Investor & Tech Sovereignty Architect I Innovation Ecosystem Founder I Strategist I Cyber-Ethicist I Futurist I Board Chair & Advisor I Editor I Vice-Rector I Speaker

The UN Trade and Development (UNCTAD) report "World Economic Situation and Prospects 2026" assesses a global economy navigating resilience amid persistent structural stress. Global growth is projected to remain subdued—around 2.7–2.9 per cent through 2027—well below pre-pandemic averages, constrained by elevated policy uncertainty, high public #debt, and weakening multilateral cooperation. Inflation has eased from recent peaks, yet price levels remain high, continuing to erode real incomes and disproportionately burden low-income households, women, and vulnerable populations. Developing economies face particular strain from limited fiscal space, declining official development assistance, and rising climate-related shocks, leaving progress toward the Sustainable Development Goals ( #SDGs) uneven and off track.

Geopolitical fragmentation, #trade tensions, and strategic rivalries are reshaping global trade and investment patterns. While global trade proved resilient in 2025, momentum is expected to soften as tariff effects persist and uncertainty weighs on confidence. Investment remains muted worldwide, with gains concentrated in a few advanced economies, particularly in artificial intelligence (#AI) and clean #energy, exacerbating cross-country divergences. Competition for critical #minerals, rising #military expenditure, and #climate pressures further intensify economic and social vulnerabilities.

Regionally, growth prospects diverge. Africa is projected to see modest growth improvements, but elevated debt, inflation, and limited diversification continue to constrain development. Least developed countries, landlocked developing countries, and small island developing States remain especially exposed to external shocks.
Other outlook reports published by the International Monetary Fund, The World Bank, European Central Bank, and other major financial institutions are modestly more optimistic but converge on elevated #risk. The IMF projects global growth around 3.2–3.3%, supported by easing inflation and AI-driven investment, yet warns of fragmentation and debt vulnerabilities. The World Bank emphasizes persistent divergence, noting that growth in developing economies remains insufficient to accelerate poverty reduction. The European Central Bank (ECB) foresees weak but stabilizing growth in the euro area, constrained by structural competitiveness challenges despite gradual monetary easing. J.P. Morgan and Goldman Sachs anticipate resilient—but uneven—growth, highlighting geopolitical risk, trade tensions, and fiscal constraints as dominant downside factors.

#economy #trade #tariffs #finance #banking #investments #debt #defense #technology #strategy

The Economist’s annual “World Ahead 2026” outlook outlines expectations for geopolitical, economic, technological, and social developments shaping the year ahead. The analysis highlights intensifying geopolitical competition, with a fractured global order and potential tensions among major powers influencing diplomacy, trade, and security. Ongoing conflicts in certain regions of the world are anticipated to persist, contributing to uncertainty in international relations. Economic themes include concerns about #investment ecosystem stressors, #inflation pressures, and the uneven recovery paths of major economies, particularly amid elevated #tariffs and shifting fiscal policies.

Technological #innovation remains a key driver of change; advances in #artificialintelligence are expected to reshape industries and labor markets, while raising questions about regulation and societal impact. 

#Climate change and environmental policy are also prominent, as nations balance clean-#energy #investments with economic growth objectives.

While all the themes outlined for 2026 are compelling, one stands out as atypical for this type of annual publication: the rise of weight-loss drugs. 
In my view, their ultra-rapid adoption reflects the growing power of #lifesciences and #pharmaceutical #industry in shaping global society. This prominence also has profound societal and ethical implications.
The rise of these innovative pharma compounds exposes a stark global paradox. Today, over 150 out of 195 countries continue to grapple with poverty, food insecurity, or malnutrition, while hundreds of millions of people face chronic hunger. In parallel, affluent societies increasingly deploy advanced pharmaceuticals to address excess consumption and metabolic disease.
This contrast raises urgent ethical questions about global equity, access, and priorities. Weight-loss therapies—projected to generate $100–150 billion annually by 2030—symbolize both scientific progress and systemic imbalance. As the health care ecosystem pivots toward prevention, wellness, and longevity, as outlined by the World Health Organization's strategic roadmap and aligned with the United Nations #SDG3 indicators, the challenge is not only to innovate but also to ensure that scientific advancement aligns with #global #equitable #health. 
Healthcare diplomacy must confront this paradox by aligning biomedical innovation with global #equity. It should bridge excess and scarcity, ensuring that advances in longevity and wellness coexist with commitments to food security, access to care, and the ethical distribution of health resources worldwide.
#strategy #governance #health #welllness #longevity #healthtech #pharma #medtech #biotech #society #humanity #future #leadership

The recent article published in Nature by Žiga Avsec and colleagues at Google DeepMind underscores the impact that the latest #genomics advances have on the #lifesciences ecosystem.

Genetic variation plays a fundamental role in shaping biological processes and contributes significantly to disease susceptibility. However, accurately characterizing the functional consequences of #DNA sequence variation remains a major scientific challenge, particularly because approximately 98% of human genetic variants occur in non-coding regions of the genome. These regions, while not translated into proteins, exert critical regulatory control over gene expression, chromatin structure, and cellular function.

Recent advances in deep-learning–based genomics have demonstrated substantial promise in addressing this challenge, yet most existing models are constrained by an inherent trade-off between the length of input DNA sequence they can process and the resolution of their predictions. In this manuscript, the authors introduce how Alphagenome Inc, a unified deep-learning model, can overcome these limitations. It can analyze DNA sequences spanning up to one million base pairs and deliver high-resolution predictions across a broad spectrum of genomic features.

The authors suggest that AlphaGenome represents a significant step toward systematically interpreting non-coding variation, with potential applications in elucidating the genetic basis of disease, informing synthetic DNA design, and advancing fundamental understanding of genome regulation

In my opinion, this article illustrates that we are at a critical inflection point for #precisionhealth and #personalizedmedicine, as the ability to accurately decode regulatory genomic variation at scale enables more individualized, predictive, and preventive approaches to disease management. 

However, the deployment of such powerful genomic #AI systems also introduces profound accountability imperatives. The scale, sensitivity, and longitudinal value of genomic data demand robust #data #governance frameworks, advanced #cyber-#ethics safeguards, and #privacy-preserving architectures by design.  

Given the sensitivity and societal impact of genomic data, equitable access must also be embedded from inception. In line with the DUBAI FUTURE FOUNDATION’s foresight-driven governance approach, #quantum-resilient security architectures are essential to safeguard genomic infrastructures against future cryptographic threats and to sustain public #trust in innovative #healthcare #ecosystems.

The Wall Street Journal’s home away from home—and yours—in #Davos.

Amid renewed geopolitical tensions, accelerating advances in artificial intelligence, and persistent economic uncertainty, The Wall Street Journal's 
signature Journal House event at the World Economic Forum 2026 will convene influential leaders from #business, #finance, #technology to examine how #global #ecosystems can adapt to a rapidly shifting world order. The program is designed as a forum for high-level dialogue on #resilience, #governance, and #strategy at a moment when traditional economic and political assumptions are being tested.

As nations confront economic realignment, supply-chain fragility, and mounting security risks, discussions will explore how #innovation can be responsibly advanced alongside effective regulation—particularly in the domain of #AI. Sessions will probe the evolving relationship between frontier technologies and public trust, addressing how regulatory frameworks can safeguard societal interests without stifling scientific progress or competitiveness. In parallel, the agenda will focus on pathways for sustainable growth amid resource scarcity, climate pressures, and demographic change, emphasizing long-term value creation over short-term optimization.

International cooperation will emerge as a central theme, with conversations highlighting the role of cross-border collaboration in mitigating geopolitical risk, enhancing economic stability, and strengthening collective security. Journal House aims to bridge perspectives across sectors, recognizing that today’s challenges demand integrated solutions that cut across policy silos and industry boundaries.

Key speakers include Jeremy Allaire, who will bring insights from the evolving digital finance and payments ecosystem; Dario Amodei, offering a frontier AI perspective on safety, governance, and scale; Albert Bourla, addressing resilience, innovation, and global health from a life sciences lens; and Zak Brown, contributing views on #leadership, #performance, and innovation under extreme competitive pressure. Together, these voices will frame a multidimensional conversation on navigating uncertainty and shaping a more adaptive global #future.

#economy #society #publishing #media #editor #journalism #influencer

The Global Investment Trends Monitor, No. 50 published by UN Trade and Development (UNCTAD)  reports that global foreign direct investment (#FDI) increased by an estimated 14 percent in 2025 to approximately USD 1.6 trillion. 

While this headline growth suggests a rebound after two subdued years, the report emphasizes that the recovery remains structurally weak and uneven. 

A substantial share of the increase reflects financial flows routed through #global financial centres, rather than new productive investment. When these conduit flows are excluded, underlying FDI growth is estimated at only around 5 percent, highlighting persistent investor caution.

Key indicators of long-term #investment confidence continued to deteriorate. The value of cross-border mergers and acquisitions declined, international project #finance fell for a fourth consecutive year, and the number of greenfield investment announcements dropped, pointing to reduced momentum in the creation of new productive capacity. These trends signal that global investment remains constrained by heightened uncertainty, tighter financing conditions, and geopolitical fragmentation.

The report identifies deepening geographic disparities in investment flows. 

FDI to developed economies rose sharply—by more than 40 percent— driven largely by Europe and major financial hubs. In contrast, FDI to developing economies declined modestly, and approximately three-quarters of least developed countries experienced stagnant or falling inflows, reinforcing long-standing structural inequities in access to international capital.

Sectorally, investment is becoming increasingly concentrated in capital-intensive, #technology-driven activities, particularly #datacentres and #semiconductor manufacturing, reflecting accelerating demand for #digital #infrastructure and #artificialintelligence capabilities. Meanwhile, investment in infrastructure and renewable #energy weakened further, raising concerns for countries that rely heavily on foreign capital to finance climate mitigation, energy transition, and sustainable development objectives. Although domestic investment partially offset this decline in some markets, it did not fully compensate for reduced foreign participation.

Looking ahead, United Nations Conference on Trade and Development projects a highly uncertain outlook for 2026. While modest growth in FDI is possible if financing conditions ease, persistent geopolitical tensions, policy uncertainty, and economic fragmentation continue to pose significant risks to inclusive, development-oriented investment.

#economy #trade #investments #strategy #ecosystem #future #finance #fintech

taplio

The Battle

Harvey Castro, MD, MBA.

Prof. Dr. Ingrid Vasiliu-Feltes

Followers

Posts

Engagements

Likes

Performance ScoreHarvey Castro, MD, MBA.'s LinkedIn Performance

Performance ScoreProf. Dr. Ingrid Vasiliu-Feltes's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Harvey Castro, MD, MBA.

Prof. Dr. Ingrid Vasiliu-Feltes

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Harvey Castro, MD, MBA.'s LinkedIn Performance

Performance ScoreProf. Dr. Ingrid Vasiliu-Feltes's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreHarvey Castro, MD, MBA.'s LinkedIn Performance