Drug development today forces patients to fit standard medications—but what if we could reverse that paradigm and design treatments tailored to each patient's unique biology?

This episode explores how specialized AI cloud infrastructure is transforming drug discovery and healthcare research–not as a distant future possibility, but as tools available to researchers today. Joining the conversation is Dr. Ilya Burkov, who shares how the right computational foundation and HPC tools accelerate scientific breakthroughs at AI speed.

The conversation reveals a significant shift in accessibility: junior researchers without specialized training now achieve 80-90% success rates in complex CRISPR experiments using agentic AI systems. These results once required years of expertise. Small research teams and startups can now access the same cutting-edge infrastructure as major pharmaceutical companies. This democratization directly impacts clinical practice: drug development timelines are compressing from decades to months, which means personalized treatments tailored to individual biology could become available within your career timeline.

It's not just about raw infrastructure efficiency. It's about the combination of technology, accessibility, domain expertise, and white-glove support that together transform what's possible in healthcare innovation.

What You Will Discover:

- Dr. Burkov: Bridging Biology and AI Infrastructure

- Nebius: AI Cloud for Drug Discovery, Genomics, Health Tech

- Scaling Personalized Patient Medicine

- Expert Support vs. Generic Clouds

- AI Success for Junior Researchers

- AI in Drug Discovery

- Nebius On Democratizing Latest GPU Access

- Future: Predicting Individual Patient Outcomes

Referenced in the show:

🖇️ "CRISPR-GPT for agentic automation of gene-editing experiments" – https://pubmed.ncbi.nlm.nih.gov/40738974/

Connect with us:

Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of Savelife.AI™

💼LinkedIn - https://www.linkedin.com/in/junaidkaliamd

🔗Website - https://www.junaidkalia.com/

📹YouTube - https://www.youtube.com/@junaidkaliamd

Dr. Harvey Castro, ER Physician, #DrGPT™

💼LinkedIn - https://www.linkedin.com/in/harveycastromd/

🔗Website - https://www.harveycastromd.com/

📷Instagram - https://www.instagram.com/harveycastromd/?hl=en

Edward Marx, CEO, Advisor

💼LinkedIn - https://www.linkedin.com/in/edwardmarx/

🔗Website - https://www.marxadvisory.com/

📹YouTube - https://www.youtube.com/@EdwardMarx

Special Guest:

Dr. Ilya Burkov, Global Head of Healthcare & Lifesciences at Nebius

💼LinkedIn -

The most dangerous assumption in healthcare AI today is that we have time to "wait and see" how tools develop. With the state-of-the-art for AI models now shifting every 7 days, the traditional 3-year implementation cycle isn't just slow—it’s stagnating clinical transformation.

In this episode, Dr. Khan Siddiqui (Radiologist and Founder of Hoppr AI) joins the panel to reveal why the future of medicine isn’t about choosing the "perfect" tool. Instead, it’s about building a sustainable system that can keep pace with technology improving at 1,600 times the speed of human practice.

This conversation moves beyond theory to address a raw, systemic crisis facing modern medicine: where radiologists must read 145 cardiac CT scans in a single shift—roughly 5.5 images per second. This unsustainable pace leaves physicians exhausted and their families suffering the collateral damage of clinical burnout.

Dr. Siddiqui breaks down how the collision of massive workforce shortages and declining reimbursements has moved AI from a "luxury" to a baseline requirement for survival. To meet this challenge, the episode explores the critical shift in a clinician-led innovation, frictionless workflow, and dynamic regulation.

What You Will Discover:

- From Clinician to AI Visionary

- The Microsoft Origin of Hoppr

- The True Cost of Clinical Burnout

- The Systemic Collapse: Workforce Gaps

- Why Augmentation is Survival

- Ending Static AI Governance

- Dr. Siddiqui’s Vision for the Future of Medicine

- AI Without the Tech Tax

- Why the FDA Model is Failing

Connect with us:

Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of Savelife.AI™

💼LinkedIn - https://www.linkedin.com/in/junaidkaliamd

🔗Website - https://www.junaidkalia.com/

📹YouTube - https://www.youtube.com/@junaidkaliamd

Dr. Harvey Castro, ER Physician, #DrGPT™

💼LinkedIn - https://www.linkedin.com/in/harveycastromd/

🔗Website - https://www.harveycastromd.com/

📷Instagram - https://www.instagram.com/harveycastromd/?hl=en

Edward Marx, CEO, Advisor

💼LinkedIn - https://www.linkedin.com/in/edwardmarx/

🔗Website - https://www.marxadvisory.com/

📹YouTube - https://www.youtube.com/@EdwardMarx

Special Guest:

Khan Siddiqui, MD, Radiologist, Founder of HOPPR

💼LinkedIn - https://www.linkedin.com/in/khansiddiqui/

🏥Hoppr AI - ​​https://www.hoppr.ai/

Visit our website:

https://signalandsymptoms.com/

Get advisory insights about Healthcare AI — at zero cost:

This Holiday Special brings together 15 healthcare leaders, technologists, and innovators to tackle the biggest questions facing medicine in 2026. AI tools are proliferating across hospitals, but can healthcare systems integrate them effectively?

Healthcare stands at a crossroads in 2026. AI is everywhere—from radiology to clinical decision support—but critical questions remain. Will it lower costs for patients? Can hospitals keep pace with innovation? And most importantly: who's steering this transformation? Our diverse panel of physicians, educators, consultants, and entrepreneurs shares their frontline perspectives on what's working, what's failing, and what must change.

Tune in to discover practical steps for upskilling, embedding AI into workflows, and ensuring the next generation enters the workforce ready to leverage these technologies for better patient outcomes.

What You Will Discover:

- What's Coming in Healthcare AI 2026

- Breakthrough Technologies & AI in Practice

- What's Holding Healthcare Back

- What You Can Do Now

Connect with us:

Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of Savelife.AI™

💼LinkedIn - https://www.linkedin.com/in/junaidkaliamd

🔗Website - https://www.junaidkalia.com/

📹YouTube - https://www.youtube.com/@junaidkaliamd

Dr. Harvey Castro, ER Physician, #DrGPT™

💼LinkedIn - https://www.linkedin.com/in/harveycastromd/

🔗Website - https://www.harveycastromd.com/

📷Instagram - https://www.instagram.com/harveycastromd/?hl=en

Edward Marx, CEO, Advisor

💼LinkedIn - https://www.linkedin.com/in/edwardmarx/

🔗Website - https://www.marxadvisory.com/

📹YouTube - https://www.youtube.com/@EdwardMarx

Special Guest:

Avinash Jayaswal, MD, MS, MSc,

💼LinkedIn - https://www.linkedin.com/in/avinash-jayaswal-md-ms-msc-464a5a2/

Jim Pollock

💼LinkedIn - https://www.linkedin.com/in/jimdpollock/

Dipu Patel, DMSc, MPAS, ABAIM, PA-C

💼LinkedIn - https://www.linkedin.com/in/dipu-patel-dmsc-pa-c-695000b/

Arlen Meyers, MD, MBA

💼LinkedIn - https://www.linkedin.com/in/ameyers/

Kianor Shah DMD, MBA

💼LinkedIn -

The future of AI-enabled care is massive and available, but the question remains: will we be the ones leading it?

In this episode, Dr. Robert Pearl – Former CEO of Permanente Medical Group (Kaiser Permanente), Author of "ChatGPT, MD", Forbes Contributor – joins the panel to challenge the core of how we practice medicine today. Medical students are entering training with AI capabilities that their professors don't possess. But beneath this technological evolution lies a clinical crisis: 400,000 deaths annually from misdiagnosis, intermittent care for chronic diseases, and a system that could eliminate up to $2 trillion in wasteful spending.

The conversation addresses why AI integration advances rapidly in other countries, yet the US lags, not from lack of technology, but from cultural resistance and misaligned financial incentives. Dr. Pearl reveals the solution he's witnessed work at scale that allows a delivery system to have smarter chronic disease management and better doctor-patient interaction.

This discussion connects directly to what matters most in clinical practice: better diagnostic accuracy, continuous disease monitoring that actually works, and care delivery that doesn't burn out physicians while delivering superior results. The paradigm can shift from the traditional trade-off between quality, access, and cost to a model where increasing quality and access genuinely lowers cost.

What You Will Discover:

- The Era of Smarter Students: AI Skills Professors Don't Have

- The Clinical Crisis: 400,000 Deaths From Misdiagnosis

- How 24/7 AI Monitoring Reduces Heart Attacks & Strokes by 30-50%

- Why Singapore & Dubai Lead While the US Lags

- Why Current Incentives Block AI Adoption

- The Fee-for-Service Problem: Rewarding Volume Over Outcomes

- How AI will Impact Pharmaceutical innovations

- Flipping the Paradigm: Lower Cost Through Higher Quality & Access

Referenced in the show:

🖇️ "ChatGPT, MD: How-AI Empowered Patients & Doctors Can Take Back Control of American Medicine" – https://www.amazon.com/dp/B0CWCV9DVZ

🖇️ “Mistreated: Why We Think We’re Getting Good Health Care – And Why We’re Usually Wrong” – https://www.amazon.com/Mistreated-Think-Getting-Health-Usually/dp/1610397657/

Connect with us:

Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of Savelife.AI™

💼LinkedIn - https://www.linkedin.com/in/junaidkaliamd

🔗Website - https://www.junaidkalia.com/

📹YouTube - https://www.youtube.com/@junaidkaliamd

Dr. Harvey Castro, ER Physician, #DrGPT™

💼LinkedIn - https://www.linkedin.com/in/harveycastromd/

🔗Website - https://www.harveycastromd.com/

📷Instagram - https://www.instagram.com/harveycastromd/?hl=en

Edward Marx, CEO, Advisor

💼LinkedIn - https://www.linkedin.com/in/edwardmarx/

🔗Website -

If healthcare AI is truly evolving, why are there still gaps between what technology can do and what healthcare organizations are actually doing? These gaps aren't just inefficiencies. They're creating real clinical risks that directly impact patient outcomes.

This year-end roundtable brings together three healthcare AI experts—Dr. Harvey Castro, Dr. Junaid Kalia, and Edward Marx—following their appearance at AIMed 2025 to share their key takeaways from deploying AI in the messy reality of hospital systems. They synthesize insights across policy, culture, and implementation: how cost disruption reshapes hospital innovation budgets, what Singapore's mandatory retraining model signals about workforce transformation, and where CMS guidelines create strategic inflection points for health systems. They demonstrate what continuous collaborative learning looks like in practice: completing advanced certifications, testing tools hands-on in their own workflows, and building AI systems for acute care environments.

Whether you're a clinician evaluating AI tools for your practice, an executive planning institutional strategy, or a founder building healthcare AI solutions, this episode helps you separate signal from noise and position yourself strategically in this transformation.

What You Will Discover:

- Introduction & ABIM Course Discussion

- Ed's 3 Key Learnings for AI-Driven Transformation

- Harvey's 3 Takeaways: Martec's Law & The Culture Problem

- Junaid's 3 Lessons from Building AI Solutions

- Why Nurses Are Being Left Behind in AI Adoption

- Deep Seek Impact: How AI Costs Dropped 99%

- Who Should Pay for AI? Government vs. Private Investment

- Singapore's Approach: Mandatory AI Retraining Policy

Referenced in the show:

🖇️ “2025 Agenda: Advancing Healthcare with Expert-Led AI” – https://aimed.swoogo.com/aimed25/8350420

Connect with us:

Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of Savelife.AI™

💼LinkedIn - https://www.linkedin.com/in/junaidkaliamd

🔗Website - https://www.junaidkalia.com/

📹YouTube - https://www.youtube.com/@junaidkaliamd

Dr. Harvey Castro, ER Physician, #DrGPT™

💼LinkedIn - https://www.linkedin.com/in/harveycastromd/

🔗Website - https://www.harveycastromd.com/

📷Instagram - https://www.instagram.com/harveycastromd/?hl=en

Edward Marx, CEO, Advisor

💼LinkedIn - https://www.linkedin.com/in/edwardmarx/

🔗Website - https://www.marxadvisory.com/

📹YouTube - https://www.youtube.com/@EdwardMarx

Visit our website:

https://signalandsymptoms.com/

Get advisory insights about...

Innovation signals are everywhere, but what matters are those that move from laboratory potential to measurable clinical impact.

Joining the conversation are Jim Pollock and Tom Meese from LumenAstra, demonstrating how clinical insight, technical capability, and strategic execution bridge the gap between healthcare innovation and patient outcomes. The discussion explores how their innovative work in developing non-invasive internal body temperature measurement technology will transform the future of AI development, enhance predictive models, and drive the creation of new clinical applications, all while leveraging the interdisciplinary nature of healthcare technology.

This isn't promotional & theoretical. Just the evidence of what happens when we measure the right interventions and act on them wisely.

What You Will Discover:

- Introduction to Lumen Astra & Its Mission

- Innovative temperature measurement technology

- Why has technology only emerged now

- How real-time brain temperature improves clinical decisions

- Dr. Kalia's compassion fatigue story in Neuro-ICU

- Building through customer discovery over assumptions

- Closing: AI, evidence, and future

Connect with us:

Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of Savelife.AI™

💼LinkedIn - https://www.linkedin.com/in/junaidkaliamd

🔗Website - https://www.junaidkalia.com/

📹YouTube - https://www.youtube.com/@junaidkaliamd

Dr. Harvey Castro, ER Physician, #DrGPT™

💼LinkedIn - https://www.linkedin.com/in/harveycastromd/

🔗Website - https://www.harveycastromd.com/

📷Instagram - https://www.instagram.com/harveycastromd/?hl=en

Edward Marx, CEO, Advisor

💼LinkedIn - https://www.linkedin.com/in/edwardmarx/

🔗Website - https://www.marxadvisory.com/

📹YouTube - https://www.youtube.com/@EdwardMarx

Connect With Our Guests:

Jim Pollock - Co-founder, LumenAstra

💼LinkedIn - https://www.linkedin.com/in/jipollock/

Tom Meese - Co-founder, LumenAstra

💼LinkedIn - https://www.linkedin.com/in/tom-meese-615ab35/

For clinical collaboration or investment inquiries

📧

🔗- https://www.lumenastra.io/

Visit our website:

https://signalandsymptoms.com/

Get advisory insights about Healthcare AI — at zero cost:

What if the biggest barrier to better cancer care isn't technology—it's how physicians approach treatment with ego?



In this episode, we sit down with Dr. Talia Baker, a transplant surgeon who walked away from clinical practice to solve a problem she witnessed firsthand: the liver cancer patient journey is fundamentally broken.

Dr. Baker introduces the Lori MDT project, a vision for reshaping how patients navigate fragmented cancer care. But the real conversation goes deeper—into the uncomfortable truths about institutional incentives, the care gaps between diagnosis and treatment, and why even the best academic centers are limited by their own biases. Her core argument: fragmented cancer care demands interdisciplinary collaboration and technology-driven process re-engineering. The era of incremental improvements is over. The future belongs to integrated services that cut across specialties—not siloed excellence in labs or imaging alone.

What You Will Discover:

- How the system's fragmentation and silos fail patients today

- Why 75% of cancer patients don't get multidisciplinary care

- The hardest problem: physician hubris, not technology implementation

- The wisest surgical lesson—knowing when not to operate

- Why we lost sight of focusing too much on product quality over service integration

- Building mosaics of superpowers before digital twins take over

This isn't about replacing clinicians with AI—it's about collaboration across clinicians, technologists, patients, and systems to augment what we can do together.

Referenced in the show:

🖇️ "OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data" – https://arxiv.org/abs/2510.02410

🖇️ “Artificial intelligence should genuinely support clinical reasoning and decision making to bridge the translational gap ” – https://www.nature.com/articles/s41746-025-01725-9

🖇️Chain-of-Influence: Tracing Interdependencies Across Time and Features in Clinical Predictive Modelings – https://arxiv.org/abs/2510.09895

🖇️“Large language models forecast patient health trajectories enabling digital twins” –

https://www.nature.com/articles/s41746-025-02004-3

Connect with us:

Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of Savelife.AI™

💼LinkedIn - https://www.linkedin.com/in/junaidkaliamd

🔗Website - https://www.junaidkalia.com/

📹YouTube - https://www.youtube.com/@junaidkaliamd

Dr. Harvey Castro, ER Physician, #DrGPT™

💼LinkedIn - https://www.linkedin.com/in/harveycastromd/

🔗Website - https://www.harveycastromd.com/

📷Instagram -

What if we're running a sick care system pretending to be healthcare? AI promises to change that by improving access for patients and reducing burden for providers, but only if we have leaders who know how to guide the transformation. The challenge: healthcare offers no structured pathway for developing these leaders.

Joining today's expert panel: Arlen Meyers, MD, MBA, President & CEO of the Society of Physician Entrepreneurs, and Muhammad Siddiqui, Chief Digital & Information Officer at Reid Health. Together, they reveal why this leadership gap exists across four levels (personal, organizational, systemic, and societal) and what's actually working on the front lines.

The conversation moves beyond theory into practical realities: why the traditional triple threat model (clinician-researcher-educator) must evolve into something new, how real implementation success shows up in physician quality of life before ROI spreadsheets, and why sustainable AI adoption ultimately requires changing the rules that shape our current healthcare system. The missing piece isn't just technology. It's a culture of continuous learning that prepares physicians to bridge clinical expertise, technological fluency, and entrepreneurial thinking.

What You Will Discover:

- Introduction & Episode Overview

- The Four Barriers to AI Adoption

- Why Physicians Aren't Becoming Tech Entrepreneurs

- The New Triple Threat in Medical Career

- Building AI IQ of Healthcare Through Education

- The Leadership Development Gap

- Bridging Clinical Innovation and Business Value

- The Complexity of Healthcare Sales

- Actionable Advice for Healthcare Leaders

- Reframing the Problem: Changing the Rules

Referenced in the show:

🖇️ "There is no Chief Healthcare AI Officer School" – https://arlenmeyersmdmba.substack.com/p/there-is-no-chief-healthcare-ai-officer

📚 Digital Health Entrepreneurship (Health Informatics) by Arlen Meyers - https://www.amazon.com/Digital-Health-Entrepreneurship-Informatics-dp-3031339010/dp/3031339010/ref=dp_ob_title_bk

Connect with us:

Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of Savelife.AI™

💼LinkedIn - https://www.linkedin.com/in/junaidkaliamd

🔗Website - https://www.junaidkalia.com/

📹YouTube - https://www.youtube.com/@junaidkaliamd

Dr. Harvey Castro, ER Physician, #DrGPT™

💼LinkedIn - https://www.linkedin.com/in/harveycastromd/

🔗Website - https://www.harveycastromd.com/

📷Instagram - https://www.instagram.com/harveycastromd/?hl=en

Edward Marx, CEO, Advisor

💼LinkedIn - https://www.linkedin.com/in/edwardmarx/

🔗Website -