Shows
AI and HealthcareWhat Changes When AI Can Read All of the Electronic Health Record?Every oncologist knows the electronic health record is where the cancer story goes to hide. Outside records arrive by fax, get scanned into the media tab under the wrong name, and pile up to hundreds of documents per patient from dozens of institutions, written in coding languages that never quite translate. Screening one chart for a clinical trial takes an hour. Tumor registries run months behind. Drugs get denied because a performance status was in the note but not in the request. No wonder "data" can feel like a four-letter word. This episode is about what changes when AI...
2026-10-1343 minAI and HealthcareCan CMS turn Healthcare AI into a Billable ServiceCMS just proposed rules that could decide who gets paid for AI in healthcare, and that's a bigger deal than another “better algorithm” story. Dr. Sanjay Juneja and Dr. Douglas Flora talk with Jordan Johnson (radiation oncology, healthcare finance, compliance and law) about what's actually in the proposal and what happens once it lands. Topics: when does AI actually count as a billable clinical service. Why getting paid also means getting watched more closely. Hospitals leaning toward integrated platforms over one-off point solutions. What to do now, before the rule locks in. Still just a proposal, not law yet, so w...
2026-07-2740 minAI and HealthcareThe End of Trial-and-Error Cancer CareEric Lefkofsky, Founder and CEO of Tempus AI, joins Dr. Sanjay Juneja and Dr. Doug Flora to explore how artificial intelligence, real-world data, genomic sequencing, and emerging technologies like organoids are reshaping oncology. From reducing diagnostic errors to matching patients with more effective therapies, AI is transforming how clinicians make decisions and how researchers develop the next generation of treatments. The conversation examines why healthcare adoption has lagged behind technological progress, the growing role of patient-driven intelligence, and how connected data may help eliminate thousands of preventable cancer deaths each year. Eric also shares his vision for AI-powered clinical...
2026-07-1056 minAI and HealthcareWhat If Every Patient Had a Digital Twin? Part 2What happens when artificial intelligence becomes a trusted partner in patient care? Healthcare leaders are increasingly exploring how AI can help clinicians make faster, more informed decisions while reducing administrative burden and improving patient outcomes. But deploying AI in medicine requires balancing innovation, trust, regulation, and clinical judgment. In this conversation, Dr. Scott Penberthy, Dr. Lindsey Cotton, and Dr. Doug Flora explore the future of cancer care, precision medicine, digital twins, physician adoption, implementation science, and the role of AI in supporting—not replacing—clinical decision-making. From cancer screening and treatment selection to workflow automation and predictive modeling, they disc...
2026-06-1631 minAI and HealthcareCan We Detect Cancer Before Symptoms Appear? Part 1Cancer is often most treatable when it's found early—but what if we could detect it before symptoms ever appear? Advances in genomics, blood-based biomarkers, and artificial intelligence are giving researchers new ways to identify cancer earlier, understand disease at a deeper level, and move beyond one-size-fits-all treatment approaches. In this conversation, Dr. Scott Penberthy, Dr. Lindsey Cotton, and Dr. Doug Flora explore how emerging technologies are reshaping cancer detection, precision medicine, drug discovery, and clinical decision-making. They discuss the growing role of multimodal AI, the promise of next-generation sequencing, and why the future of healthcare may depend on fi...
2026-06-0442 minAI and HealthcareCould Sleep Affect Cancer Survival?Cancer treatment may be missing one of the body’s most important biological signals: circadian rhythm. In this conversation, sleep neurologist Dr. Anne Marie Morse explains how sleep timing, inflammation, immune function, and wearable data could fundamentally reshape cancer care. Emerging research suggests the timing of immunotherapy, chemotherapy, and even sleep disruption itself may influence treatment response, survival, and recurrence risk. The discussion explores chronotherapy, circadian genes, microbiome interactions, and how AI-driven analytics may help clinicians move beyond episodic care toward continuous, personalized monitoring.
2026-05-1951 minAI and HealthcareAI Is Changing Healthcare — But At What Cost?AI is transforming healthcare at an unprecedented pace—but the biggest risks aren’t clinical, they’re legal, operational, and systemic. From data center infrastructure and environmental impact to reimbursement shifts and agentic AI workflows, the stakes are rising fast. New models from major tech players are poised to influence care delivery—and even get reimbursed based on outcomes—raising critical questions about ownership, liability, and control. Where does responsibility fall when AI drives decisions? How should hospitals evaluate vendors, data sources, and infrastructure risks? And what happens when automation outpaces regulation?
2026-04-2944 minAI and HealthcareWhat Clinical AI Is Doing Well... and Where It Still Needs WorkAI is making remarkable progress in healthcare — but translating that progress into real clinical impact is more complex than it seems. In this episode, we break down the State of Clinical AI in 2026, separating signal from noise and exploring what’s actually working today.
2026-04-1759 minAI and HealthcareWhy Most AI Startups Fail in HealthcareAI is exploding in healthcare — but most startups still fail. In this episode of the AI & Healthcare Podcast, Dr. Sanjay Juneja speaks with innovation leaders Dr. Bernardo Perez-Villa and Dr. Peter Alperin about the reality of building successful medical technology in 2026. Hundreds of AI tools have FDA clearance, billions have been invested in digital health, and yet hospitals still struggle to adopt new technology. Why?
2026-04-1441 minAI and HealthcareThe Payment Crisis Behind HealthcareCare is delivered every day in American hospitals, but getting paid for that care has become a battle. Denials, prior authorization, billing complexity, and rising costs have created a financial crisis behind the scenes of modern medicine. Insurance companies use automation to control payments, while hospitals struggle to keep up. Now AI is entering the fight. Dr. Sanjay Juneja and Dr. Douglas Flora speak with Monique Lappas, Founder and CEO of Qualify Health, about the growing war over who pays for care and how intelligent automation is helping providers recover lost revenue, reduce patient debt, and keep hospitals from...
2026-04-1051 minAI and HealthcareHow AI Creates Precision in Mental Health CareMental health is now central to high-quality cancer care, yet access, diagnostic precision, and scalability remain major gaps. In this in-depth discussion, clinical and innovation leaders explore how artificial intelligence can shift mental health care from reactive support to precision-driven, proactive intervention. The conversation examines AI as a clinical signal amplifier that enhances human judgment without replacing it. Topics include objective diagnostics, functional brain mapping, digital phenotyping, therapeutic bots, longitudinal monitoring, and how AI can better match patients to the right level of care at the right time. The discussion also addresses real-world implementation challenges in oncology and health...
2026-02-1353 minAI and HealthcareClinical AI Governance: What Clinicians Must Know in 2026AI in healthcare is accelerating fast—but adoption without governance is risk. In this conversation, oncology and health policy leaders break down how clinicians and health systems should evaluate emerging AI tools: what FDA clearance vs approval really means, why “not FDA-approved” doesn’t automatically mean unsafe, and how laboratory-developed tests (LDTs) are already embedded in everyday care. We also explore real-world evidence, model drift, and why implementation—not innovation—is the true bottleneck for safe scale. If you’re assessing AI in imaging, diagnostics, clinical decision support, or workflow automation, this is your framework for asking smarter questions and protecting...
2026-01-1553 minAI and HealthcareHow Digital Twins Could End Medical GuessworkDigital twins are moving from engineering into healthcare and the implications are profound. From oncology decision-making to clinical trials and personalized medicine, virtual human twins could reshape how clinicians predict outcomes, reduce toxicity, and tailor treatment. Dr. Sanjay Juneja and Dr. Doug Flora are joined by digital twin leaders Jim St. Clair and Professor James Fargason to explore how real-time data, AI, and system-level modeling can move medicine beyond population averages toward individualized care. This conversation unpacks what a true digital twin requires, why data quality and interoperability matter, and how digital twins may accelerate drug development, improve trial...
2025-12-1852 minAI and HealthcareHow Wearables Are Transforming Oncology CareContinuous monitoring is reshaping oncology. CEO of AION Biosystems, Sam Barend, joins Dr. Sanjay Juneja, Dr. Douglas Flora, and Dr. David Penberthy to explore how long‑term physiologic tracking, AI‑driven insights, and clinically validated wearables are improving outcomes for patients at high risk of complications. The conversation highlights FDA pathways, reimbursement realities, and the promise of simpler, signal‑focused monitoring that detects patterns earlier and supports safer treatment continuity.
2025-12-0558 minAI and HealthcareThe End of Cut, Poison & Burn: How AI is Rewriting Cancer CareCancer care isn't what it used to be—and that's exactly why Dr. Douglas Flora just wrote a book about it. Are you ready to understand how AI is transforming oncology? In this episode of AI and Healthcare, host Dr. Sanjay Juneja and co-hosts Dr. Douglas Flora and Dr. Deborah Pat are joined by special guest Dr. Chadi Nabhan—author, educator, and passionate advocate for cancer education—to discuss Doug's newly released book on AI in cancer care, currently #1 in oncology on Amazon. Doug wrote it because he feels "desperate" to share how dramatically cancer treatment is changing. The physic...
2025-11-2050 minAI and HealthcareAI Is Changing Cancer Care and PolicyAI is changing everything from policy to the patient room. In this AI&H roundtable, Dr. Doug Flora, a leading voice in oncology innovation, joins Dr. Sanjay Juneja, Dr. Debra Patt, and Mika Newton to tackle what’s really holding back AI adoption in healthcare. They explore Medicare’s AI prior auth model, the role of clinical decision support, and why strong change management is the linchpin of real progress. Dr. Flora shares leadership lessons and insights from the front lines.
2025-10-301h 18AI and HealthcareWhy AI Tools Are Changing Medicine Fast?Healthcare is shifting fast, and AI is at the center of the storm. In this powerful roundtable, Dr. Sanjay Juneja hosts xCures CEO Mika Newton, Dr. Debra Patt of Texas Oncology, and Dr. Jason Hill of Ochsner Health to break down how AI is already reshaping access, risk, and care delivery. From ambient scribes to open-source models, from liability concerns to mental health triage—this conversation covers what matters.
2025-10-201h 15AI and HealthcareWhat Is Patient Design in Healthcare?What is patient design, and why does it matter in modern healthcare? Dr. Bertalan Meskó, Director of The Medical Futurist Institute, explains why patient involvement is critical to innovation and trust. Patient-centered design shifts the model from making decisions for patients to making decisions with them. This co-creation approach ensures better outcomes and more effective digital health solutions.
2025-10-1306 minAI and HealthcareWill Insurers Require AI for Value-Based Care?Could AI soon become a required element of value-based care? Dr. Stephen Speicher from Flatiron Health explores a near-future scenario where insurers may require AI tools to be used in clinical workflows to qualify for reimbursement.
In this forward-looking discussion, Dr. Speicher breaks down how AI could be both a cost burden and a quality catalyst—and why its integration into value-based care models might become non-negotiable.
2025-10-1003 minAI and HealthcareCan You Refuse AI in Your Medical Care?Should patients be able to opt out of AI in their care? Dr. Stephen Speicher, Head of Clinical Oncology and Safety at Flatiron Health, dives into the evolving ethics of informed consent as AI becomes increasingly embedded in medical workflows. From regulatory trends to future standards of care, he examines how clinicians and patients can navigate transparency, autonomy, and shared responsibility.
2025-10-0606 minAI and HealthcareHow Vision Writing Changes Daily DecisionsWhat if your future self could guide your decisions today? Dr. Bertalan Mesko, Director of The Medical Futurist Institute, shares a surprisingly effective strategy: vision writing. By imagining yourself in the future and striking “deals” with future versions of yourself, you can create emotional clarity and motivation in the present.
2025-10-0306 minAI and HealthcareWhy Predictive AI & Wearables Are Game-ChangersPredictive AI and wearable tech are changing healthcare from reactive to proactive.
This clip explores how real-time data and AI models can detect illness before symptoms emerge.
Jordan Johnson of Bridge Oncology and Dr. Sanjay Juneja discuss the future of medicine—from CMS reimbursements to remote monitoring and predictive diagnostics.
2025-10-0203 minAI and HealthcareBertalan Meskó on the Future of HealthcareWhat will the future of healthcare really look like? Medical futurist Dr. Bertalan Meskó reveals how foresight, patient design, and prompt engineering are reshaping the landscape of care. In this interview with oncologist Dr. Sanjay Juneja, learn how to prepare for multiple futures, integrate AI tools effectively, and lead cultural change in medicine.
2025-09-3055 minAI and HealthcareResponsible AI Needs Global RegulationShould AI in health records be considered a medical device? Emily Lewis, an AI thought leader, compares the U.S. FDA and U.K. NHS approaches to AI regulation in healthcare. She shares how global discrepancies affect responsible AI implementation and what leaders must do to stay compliant. Discover why local adaptation and ongoing education are critical.
2025-09-2903 minAI and HealthcareWhy Patient Care Suffers from Interoperability IssuesInteroperability isn’t just a buzzword—it’s a broken promise. Jordan Johnson, founder of Bridge Oncology, explains how fragmented systems, outdated data, and lack of standardization are driving financial loss and patient harm. From mismatched EMRs to payer confusion, this interview exposes the operational and policy-level stakes.
2025-09-2609 minAI and HealthcareCan AI Make Healthcare Safer and More Equitable?How do we make healthcare AI both safe and scalable? Dr. Stephen Speicher, Head of Clinical Oncology and Safety at Flatiron Health, shares how responsibility for AI safety must be shared across developers, deployers, clinicians, and health systems. He breaks down use-case-specific risks, informed consent challenges, and the risk of widening healthcare inequities.
2025-09-2554 minAI and HealthcareThe Reality of EHR API AdoptionWhy are digital health companies still struggling to connect with EHRs—even after federal mandates? Dr. Ben Rosner breaks down results from a national survey exploring API integration challenges, from proprietary workarounds to endpoint confusion. He also previews a new survey aimed at measuring real progress since the 21st Century Cures Act.
2025-09-1906 minAI and HealthcareWhy Interoperability Fails in HealthcareHealthcare data interoperability isn’t just about EMRs—it’s about patient survival, equity, and system sustainability. Jordan Johnson, MSHA, Founder of Bridge Oncology, breaks down the true scope of interoperability, from payer systems to AI-enabled radiotherapy. In this dynamic conversation with Dr. Sanjay Juneja, they explore how structured data, legal frameworks, and real-time analytics can reshape value-based care and prevent patient harm.
2025-09-1848 minAI and HealthcareMedical Education in 2025: AI’s Double-Edged SwordIs AI helping—or harming—the next generation of doctors? UCSF's Dr. Ben Rosner shares how AI is reshaping medical education in 2025. From tutor bots to clinical skill assessments, he explores the opportunities and pitfalls. Discover what 'de-skilling' means, and why educators need smart guardrails to guide AI integration.
2025-09-1613 minAI and HealthcareCan AI Write Better Discharge Summaries?AI is transforming discharge documentation. Dr. Ben Rosner of UCSF breaks down how large language models (LLMs) perform compared to physicians—and what that means for safety, education, and clinical workflows. Learn what “LLM as jury” could mean for quality control and how AI might de-skill future doctors if we're not careful.
2025-09-0448 minAI and HealthcareEmily Lewis on AI and Patient EngagementAI is no longer just for clinicians. Emily Lewis, an AI thought leader, explains how AI is becoming a partner in patient care. From gamified self-care tools to multimodal education, she breaks down how technology can foster better communication and empower patients to take control of their health. She also explores the regulatory and data challenges involved in scaling AI for patient use. Featuring Dr. Sanjay Juneja. Learn more about Emily: https://www.udemy.com/user/emily-lewis-77/ Host: https://sjunejamd.com/
"Views expressed by Dr. Juneja and Emily Lewis are solely their own and are not...
2025-08-2541 minAI and HealthcareDisruption vs. Sustaining Innovation in HealthcareDisruptive innovation isn’t always what it seems—especially in healthcare. Bernardo Perez-Villa, Senior Innovations Engagement Partner at the Cleveland Clinic, shares a revealing look at the myths behind “first-in-class” innovation. Learn how startups create disruption, why big players wait to buy instead of build, and how to use Christensen’s framework to identify true disruption.
2025-08-1207 minAI and HealthcareThe #1 Mistake Health Startups MakeWhy do so many digital health startups collapse? Dr. Bernardo Perez-Villa explains how a lack of real market validation derails innovation before it starts. Learn how to perform meaningful primary and secondary market research—from asking the right questions to clinicians to scanning Reddit and PubMed for real-world proof of need.
2025-07-2813 minAI and HealthcareWhy Most AI Startups in Healthcare FailWhat separates scalable healthcare AI from hype? Dr. Bernardo Perez-Villa, Cleveland Clinic's Senior Innovations Engagement Partner, breaks down how to validate AI ideas, assess product-market fit, and build business models that survive reimbursement hurdles. Hosted by Dr. Sanjay Juneja.
2025-07-1846 minAI and HealthcareCancer Detection MRI Imaging vs Blood TestsWhy rely on one method when three are better? Ezra CEO Emi Gal explains how combining imaging, liquid biopsy, and biomarkers creates a superior cancer screening protocol. He also shares how AI enables longitudinal tracking of lesions, reducing false positives and patient anxiety. Learn what makes Ezra’s approach uniquely effective in the fight against cancer.
2025-07-0805 minAI and HealthcareHow AI Makes Full-Body MRI Faster and CheaperDiscover how Ezra uses FDA-cleared AI to transform MRI imaging. CEO Emi Gal explains how Ezra Flash speeds up scan times while improving quality, and how Ezra Assist aids radiologists with accurate annotations. Their AI-powered process makes full-body cancer screening possible in just 22 minutes—for under $500. Learn how this innovation is redefining medical imaging from acquisition to interpretation.
2025-07-0212 minAI and HealthcareShould Patients Be Paid for Sharing Health Data?Can patients and clinicians be fairly rewarded for sharing healthcare data? Rajeev Ronanki, CEO of Lyric, discusses a future where AI-enabled tools empower community oncology practices with personalized digital agents. He outlines how reimbursement models can support physicians scaling their care using AI, and why rewarding patient data sharing is both ethical and economically sound.
2025-06-3005 minAI and HealthcareAI Makes Full Body MRI Screening Affordable - with Emi GalEzra CEO Emi Gal breaks down how AI is revolutionizing full-body MRI cancer screening. Learn how FDA-cleared tools accelerate scan time, assist radiologists, and empower patients with easy-to-understand reports—all for just $499. Discover why early detection matters, especially for younger adults, and how Ezra is scaling access to lifesaving diagnostics.
2025-06-2637 minAI and HealthcareInside the FDA’s Bold Elsa AI Move: Rajeev Ronanki ExplainsRajeev Ronanki, CEO of Lyric and former Elevance Health executive, unpacks what the FDA’s AI initiative—Elsa—really means for drug innovation and regulation. Rajeev outlines how the agency can use data it already has to drive smarter, faster decisions. He draws powerful parallels to autonomous vehicles and urges the FDA to embrace AI while maintaining scientific rigor.
2025-06-2506 minAI and HealthcareTrust, ethics, and data bias in AITrust in AI cannot exist without ethics - and ethics cannot exist without confronting data bias. Discover how artificial intelligence can become a force for safety, fairness, and innovation in healthcare when designed with integrity from the ground up.
In this compelling exchange, Dr. Sanjay Juneja (sjunejamd.com) interviews Rajeev Ronanki (LinkedIn), CEO of Lyric, to uncover how AI can be engineered to identify bias, self-evaluate decisions, and evolve into a trusted collaborator in clinical care. They reveal practical strategies for bias detection, the vision of an "AI Hippocratic Oath," and why ethics must precede deployment...
2025-06-2005 minAI and HealthcareRajeev Ronanki: Real-Time Payer-Provider CollaborationRajeev Ronanki, CEO of Lyric and author of You and AI, joins Dr. Sanjay Juneja to discuss a radical rethinking of payment in healthcare. Instead of upgrading legacy systems, Rajeev proposes bypassing them using trusted AI agents that mediate between EMRs and payers. They explore real-time adjudication, the importance of trust and transparency, and how scalable AI tools can serve even community clinics. Learn how AI is reshaping healthcare finance from the ground up.
2025-06-1948 minAI and HealthcareWhere does the AI liability lie?AI in healthcare brings breakthroughs - but also new legal and ethical risks. Who’s responsible when an AI-assisted diagnosis leads to harm? The licensed physician? The hospital? The tool’s developer? As AI becomes embedded in clinical workflows, this question becomes unavoidable. In this conversation, Mika Newton, CEO of xCures (https://www.linkedin.com/in/mikanewton/), interviews Dr. Colleen Lyons, clinical research ethicist (https://aicommons.champlain.edu/people/colleen-p-lyons/), to unpack AI liability in modern healthcare. They explore frameworks for ethical responsibility, institutional risk, informed deployment, and the leadership competencies needed to navigate intelligent failure.
2025-06-1807 minAI and HealthcareHow does the Belmont Report relate to AI ethics in healthcare?AI is reshaping clinical care, but can we apply trusted bioethical principles to its rapid adoption? This discussion explores how the Belmont Report’s three ethical pillars - autonomy, beneficence, and justice - remain essential as AI tools enter diagnosis, decision-making, and patient communication in modern healthcare. Hosted by Mika Newton, CEO of xCures, with expert insights from Dr. Colleen Lyons, a leading clinical research ethicist, the discussion covers informed consent in AI-assisted care, transparency versus explainability, and the ethical implications of asymmetrical power in AI systems. Gain a deeper understanding of how healthcare leaders can navigate AI integration wh...
2025-06-1709 minAI and HealthcareRegulation vs Deregulation of AI in HealthcareIs AI in healthcare racing toward a crash? Discover what happens when innovation outpaces oversight, and why unchecked growth could lead to another industry meltdown. Mika Newton, CEO of xCures (https://www.linkedin.com/in/mikanewton/), and Dr. Colleen Lyons, clinical research ethicist at Champlain College (https://aicommons.champlain.edu/people/colleen-p-lyons/), unpack the consequences of deregulation and the unintended barriers of over-regulation. They explore the ethics, governance models, and leadership competencies required to navigate the volatile, uncertain, complex, and ambiguous (VUCA) world of AI-driven healthcare. Learn why compliance alone won't future-proof your organization, how to embed ethical frameworks...
2025-06-1310 minAI and HealthcareHow is AI used in Life sciences?AI transforms how healthcare data is structured, analyzed and applied to clinical decision-making in life sciences. Discover how leading experts harness artificial intelligence to streamline clinical workflows, enhance data quality and accelerate actionable insights for healthcare providers and diagnostic organizations. Mika Newton, CEO of xCures, and Rajiv Haravu, SVP of Product Management at IMO Health, break down practical frameworks for applying AI to complex patient records, from medical coding to interoperability strategies. Understand how AI-driven tools empower healthcare teams to navigate vast medical datasets, improve patient care pathways and support value-based care delivery.
2025-06-1213 minAI and HealthcareWhat are the risks of using AI in healthcare?AI is changing healthcare - but are we prepared for the hidden risks? From undermining critical thinking to damaging the human connection between providers and patients, AI’s unintended consequences deserve attention. Mika Newton (CEO, xCures) talks with Dr. Spencer Dorn (Vice Chair, UNC Department of Medicine) about the deeper risks AI poses across clinical care, system operations, and provider responsibilities. They explore overlooked dangers: the erosion of professional judgment, reliance on AI-generated summaries, and the threat to personal relationships in medicine. This is essential viewing for leaders navigating AI implementation in health systems.
2025-06-0608 minAI and HealthcareEthics and AI in Healthcare: A Hard Look Inside - with Dr. Colleen Lyons [FULL PODCAST]Dr. Colleen Lyons, a clinical research ethicist with FDA experience, breaks down how ethics must evolve to meet the realities of AI in healthcare. From data bias to transparency, autonomy, and organizational responsibility, she offers an unflinching perspective on where we’re falling short - and what must change. Hosted by Mika Newton. Connect with Dr. Lyons: Champlain College Profile. More AI & Healthcare insights: xCures.com
2025-06-0554 minAI and HealthcareWhat tasks can AI help doctors with? - with Mika NewtonAI is transforming how clinicians handle information, starting with one of the most urgent issues in healthcare: too few providers, too much data, and not enough time. This conversation explores how AI can support physicians by summarizing patient records and medical literature, reducing burnout, and improving clinical decision-making. Hosted by Mika Newton, CEO of xCures (https://www.linkedin.com/in/mikanewton/), the interview features Dr. Spencer Dorn, Vice Chair & Professor of Medicine at the University of North Carolina (https://www.linkedin.com/in/spencerdorn/). He shares powerful insights into AI’s current and future role in healthcare delivery—beyond scri...
2025-06-0405 minAI and HealthcareWhat are AI Scribes? - with Mika NewtonAI scribes are transforming how clinical notes are written, relieving physicians from time-consuming documentation and unlocking more patient-focused care. In this video, we explore what AI scribes really do, how they vary in capability, and which features actually move the needle in clinical practice. Hosted by Mika Newton, CEO of xCures (https://www.linkedin.com/in/mikanewton/), and featuring Dr. Spencer Dorn, Vice Chair & Professor of Medicine at the University of North Carolina (https://www.linkedin.com/in/spencerdorn/), the interview outlines how AI scribes differ by integration depth, impact on workflows, and their role in improving documentation accuracy...
2025-06-0311 minAI and HealthcareWhat is the role of data in surgery outcomes? - with Dr. Sanjay JunejaPrecision in surgery doesn’t start in the operating room - it starts with the data. Learn how advanced imaging, outcome-linked datasets, and AI-driven insights are reshaping surgical decisions and reducing repeat procedures. Dr. Sanjay Juneja speaks with Adrian Mendes, CEO at Perimeter Medical Imaging AI, to explore the critical relationship between imaging data and post-surgical outcomes in breast cancer care. They break down how image-based machine learning models improve real-time margin assessment, lower costs, and lead to better patient results.
2025-06-0206 minAI and HealthcareHow can OCT technology help reduce healthcare costs? - with Dr. Sanjay JunejaMissed margins and repeat surgeries drive up healthcare costs and stretch critical resources. OCT technology offers a path to smarter imaging and fewer reoperations, cutting costs while improving outcomes. Dr. Sanjay Juneja hosts Adrian Mendes, CEO of Perimeter Medical Imaging AI, to unpack how intraoperative OCT can drastically lower re-excision rates in breast cancer surgery. They explore the ripple effect this has on healthcare economics - from reduced OR time and insurance payouts to stronger patient survival rates. You’ll learn how data-backed imaging aligns both clinical and financial priorities.
2025-05-3003 minAI and HealthcareThe ins and outs, and risks of AI Scribes - with Mika Newton [FULL INTERVIEW]AI scribes promise relief from clinical documentation fatigue - but what are their limitations, hidden risks, and true return on investment? In a landscape saturated with new scribing technologies, understanding which tools integrate meaningfully with EHR systems and which merely transcribe surface-level dialogue is critical for healthcare leaders. Hosted by Mika Newton, CEO of xCures (https://www.linkedin.com/in/mikanewton/), this discussion features Dr. Spencer Dorn, Vice Chair and Professor of Medicine at UNC (https://www.linkedin.com/in/spencerdorn/), offering clear insights into how AI scribes impact physician workflow, coding accuracy, and care quality. The conversation examines...
2025-05-2941 minAI and HealthcareHow can doctors get the most value out of AI today? - with Dr. Sanjay JunejaHealthcare is shifting fast. If you’re not actively learning how to use AI, you're already behind. This discussion reveals how to get the most value out of AI in clinical care, even if you're just starting. Host Dr. Sanjay Juneja (https://sjunejamd.com) sits down with physician-entrepreneur Dr. Harvey Castro (https://www.linkedin.com/in/harveycastromd/) to unpack the critical steps healthcare professionals can take right now to stay relevant and lead with AI. They discuss how to build your AI fluency, what content to follow, how to vet sources, and why a passion for patient care should dr...
2025-05-2702 minAI and HealthcareHow Can AI Make Breast-Conserving Surgery Smarter? - with Dr. Sanjay Juneja [FULL INTERVIEW]AI-assisted imaging is enhancing the precision of breast-conserving surgery by enabling surgeons to reduce re-excisions, preserve healthy tissue, and make more informed intraoperative decisions. Learn how real-time AI models trained on high-resolution optical coherence tomography (OCT) images are transforming how clean margins are assessed during lumpectomies. Adrian Mendes, CEO of Perimeter Medical Imaging, joins Dr. Sanjay Juneja, The OncDoc, to unpack the technological, clinical, and operational implications of using AI to support breast cancer surgery. They cover practical use cases, data strategy, FDA pathways, and cost-savings that matter to hospitals, payers, and diagnostic partners. If you're a provider, technologist...
2025-05-2248 minAI and HealthcareHow can AI address the healthcare worker shortage? - with Dr. Sanjay JunejaAI isn’t replacing healthcare workers - it’s preserving the workforce and extending its reach. From robotic support that reduces physical strain on aging nurses to ambient scribing that eliminates after-hours charting, AI is stepping in where capacity is stretched thin. This conversation explores how AI tools are already shifting care models, enabling clinicians to manage more patients with greater precision and less burnout. Dr. Sanjay Juneja interviews Dr. Harvey Castro, MD, MBA, about practical, near-term applications of AI across clinical environments, including diagnostics, home-based monitoring, and decision support. They discuss real use cases, ethical implications, and a futu...
2025-05-2109 minAI and HealthcareLearn how Agentic AI Reshapes Clinical Workflows - with Dr. Sanjay JunejaDiscover how agentic AI is transforming clinical workflows by enabling intelligent digital twins of healthcare professionals that learn, adapt, and act autonomously. This breakthrough supports faster decision-making, reduces bottlenecks, and expands the reach of clinical expertise across provider systems, telehealth, labs, and diagnostic settings. Dr. Sanjay Juneja hosts Dr. Harvey Castro, who explores how agentic systems integrate with wearables, streamline emergency care, and deliver timely medical insights. You’ll learn how scalable AI agents enhance operational efficiency and knowledge-sharing without compromising the human touch.
2025-05-2007 minAI and HealthcareShould Hospital Systems Build or Buy AI Tools? - with Dr. Sanjay JunejaHealthcare systems face a critical question: build custom AI tools tailored to their workflows, or buy ready-made solutions? This video unpacks the operational, financial, and clinical factors that inform that decision, including insights on cost, customization, integration, and innovation in patient-centered AI. Dr. Sanjay Juneja (https://sjunejamd.com/) interviews Dr. Harvey Castro (https://www.linkedin.com/in/harveycastromd/) to explore the nuances of AI adoption in hospital systems. They break down the value of federated learning, ambient scribe technologies, cultural considerations in care, and how to ensure AI models support rather than replace clinical decision-making. If you're in health...
2025-05-1608 minAI and HealthcareDigital Twins and the Future of Patient Care - with Dr. Sanjay Juneja [FULL PODCAST]AI agents are changing how clinical decisions are made, workflows are optimized, and care is delivered across hospitals, labs, and telehealth systems. Learn how these tools can scale medical expertise, streamline bottlenecks, and improve patient outcomes—without replacing the human element. Hosted by Dr. Sanjay Juneja and featuring expert insights from Dr. Harvey Castro, this interview explains how digital twins, ambient AI, and agentic systems can support clinical judgment, reduce burnout, and personalize care at scale. You’ll also hear practical guidance on whether to build or buy AI tools, how to structure healthcare-specific data, and what integration actually look...
2025-05-1541 minAI and HealthcareHow is AI Influencing Rare Disease Treatments? [David Fajgenbaum] - with Dr. Sanjay JunejaAI is reshaping rare disease treatments by accelerating drug repurposing, identifying therapeutic opportunities, and unlocking actionable insights hidden in clinical data. Discover how innovative frameworks and technology platforms are helping healthcare leaders, diagnostic companies, and telehealth providers uncover new treatment pathways faster and more efficiently. Dr. Sanjay Juneja (https://sjunejamd.com/) speaks with Dr. David Fajgenbaum (https://www.linkedin.com/in/davidfajgenbaum) about the ethical imperative of using AI-driven drug repurposing to address underserved rare conditions and the growing potential to surface overlooked therapies. Gain practical insights on decision-making, data analysis, and scalable solutions that can impact patient care.
2025-05-1401 minAI and HealthcareHow does an open source drug discovery platform empower clinicians? - with Dr. Sanjay JunejaUnlock faster, smarter drug repurposing with open-source data that arms clinicians and researchers with actionable insights. This discussion explores how cutting-edge AI and knowledge graphs are transforming access to potential therapies by ranking 4,000 approved drugs against thousands of diseases - all in record time. Host Dr. Sanjay Juneja speaks with Dr. David Fajgenbaum, Co-founder of Every Cure, to reveal how their platform delivers 75 million computed drug-disease scores directly into the hands of healthcare providers worldwide. Learn how this approach accelerates clinical decision-making, supports evidence-based research, and breaks down barriers to innovative care strategies.
2025-05-1202 minAI and HealthcareHow does AI Prediction Translate to Patient Care? [David Fajgenbaum] - with Dr. Sanjay JunejaAI prediction is transforming patient care by accelerating how life-saving treatments are identified, repurposed, and delivered to those in need. Discover how cutting-edge data analysis can uncover overlooked therapies and drive faster clinical decisions that impact real-world outcomes. Dr. Sanjay Juneja interviews Dr. David Fajgenbaum, co-founder of Every Cure, to reveal actionable strategies for leveraging artificial intelligence in healthcare systems. Learn how AI-powered frameworks are optimizing treatment selection, guiding clinical workflows, and informing executive decisions across provider networks, telehealth, laboratories, and diagnostics.
2025-05-0903 minAI and HealthcareCan AI Find the Cures We've Overlooked for Decades? - with Dr. Sanjay Juneja [FULL PODCAST]The idea that artificial intelligence can uncover life-saving treatments hidden in plain sight is no longer science fiction. In a healthcare system that often favors costly innovation over accessible solutions, using AI to repurpose existing drugs offers a path to faster, affordable breakthroughs. Join Dr. Sanjay Juneja and Dr. David Fajgenbaum, co-founder of Every Cure, as they reveal how AI is accelerating the identification of overlooked therapies for rare and complex diseases. Learn about the critical frameworks behind drug repurposing, how predictive models like Matrix are reshaping disease treatment, and why open-source collaboration could transform healthcare delivery. If you...
2025-05-0851 minAI and HealthcareHow Does Data Normalization Impact AI? - with Mika NewtonAccurate clinical insights depend on more than just throwing a large language model at a problem. Data normalization and structured medical concepts shape how AI delivers precision in healthcare coding, clinical decision support, and patient care. Mika Newton, CEO of xCures, and Rajiv Haravu unpack how proprietary medical content, editorial policies, and knowledge graphs provide essential context that LLMs alone cannot offer. Learn why healthcare organizations still rely on medical code sets for reimbursement, accurate ICD-10 coding, and decision-making workflows - and how AI-driven agents may soon accelerate ontology creation, dictionary migration, and terminology mapping. Discover actionable frameworks and...
2025-05-0608 minAI and HealthcareWhat is the biggest challenge in data normalization? - with Mika NewtonData normalization in healthcare isn't just complex – it's mission critical. When a simple lab result like hemoglobin A1C can be recorded under half a dozen different names, clinicians face real obstacles in tracking trends, managing care, and making timely decisions. Mika Newton, CEO of xCures, and Rajiv Haravu, SVP of Product Management at IMO Health, break down why non-standardized data jeopardizes care quality, public health insights, and patient safety. From mismatched lab terms to inconsistent clinical narratives, they explore how definition decay and evolving medical language complicate interoperability and downstream data uses. Learn the frameworks and methodologies IMO He...
2025-05-0208 minAI and HealthcareThe Fight to Clean Up Healthcare Data - with Mika Newton [FULL PODCAST]Healthcare data is messy, inconsistent, and buried in narrative. AI sounds like the solution. Until it isn’t. In this episode of AI and Healthcare, xCures CEO Mika Newton speaks with Rajiv Haravu, SVP of Product Management at IMO Health, to dissect the real-world challenges of data normalization. From inconsistent documentation of basic lab tests to extracting insights from billions of unstructured notes, Rajiv explains why AI alone falls short - and how precision tools, editorial standards, and clinically-informed design can bridge the gap.
2025-05-0144 minAI and HealthcareWhat real pain points in healthcare can AI help with? - with Dr. Sanjay JunejaEmergency rooms are overwhelmed, not just by medical crises, but by the fallout of systemic failures. A growing number of patients are showing up with issues rooted in poverty, housing instability, and food insecurity. AI is helping change that. By connecting underserved patients to billions in unclaimed public benefits, new tools are offering a path to preventative care that begins outside the hospital walls. Dr. Alister Martin explains how AI is being used to bridge the gap between policy and care, reduce avoidable ER visits, and ease pressure on a healthcare system that spends billions treating conditions that could...
2025-04-3010 minAI and HealthcareShould proficiency in AI be considered in medical school applications?—with Dr. Sanjay JunejaAs AI becomes a core part of modern medicine, the way we train future doctors may be due for a serious rethink. Empathy and adaptability, not just chemistry and memorization, could define what makes a good physician in the age of augmented intelligence. With language models becoming standard tools for both patients and providers, skills like prompting, critical thinking, and emotional intelligence may soon matter more than traditional academic benchmarks.
2025-04-2805 minAI and HealthcareHow can wearables warn you before a stroke?—with Dr. Sanjay JunejaWhat started with a rabbit heart in a physiology lab led to a career focused on preventing strokes through early detection of atrial fibrillation. A Stanford cardiologist shares how that moment sparked a lifelong interest in cardiac rhythms and how today’s wearables can now detect AFib through simple, continuous monitoring, long before symptoms appear. This shift from reactive care to early detection marks a major step forward in heart health, powered by straightforward algorithms and a growing role for AI in predicting cardiovascular risk.
2025-04-2504 minAI and HealthcareWhy Waiting for a Heart Attack Is Outdated—with Dr. Sanjay Juneja [Full Podcast]What if your smartwatch could detect a heart condition before you ever felt a symptom? Stanford cardiologist Dr. Euan Ashley reveals how AI and wearables are quietly reshaping the future of healthcare, from spotting silent strokes to redefining what “normal” health looks like. Why do we service our cars and inspect bridges, but wait for our bodies to break down before acting? That question sets the stage for a deep dive into proactive medicine, where tools like the Apple Watch are already catching atrial fibrillation early, and continuous health monitoring could alert us to problems years in advance. Beyond the...
2025-04-2452 minAI and HealthcareHow good or bad is healthcare data?—with Mika NewtonAI is only as good as the data behind it, and in healthcare, that data is often messy, outdated, and biased. As systems create digital versions of patients, known as twins, the risks increase when data deteriorates or is used without informed consent. Understanding how data breaks down over time, how it's mislabeled or misused, and why clean, well-governed data matters is essential to creating safer, smarter tools that actually work for people, not against them.
2025-04-2308 minAI and HealthcareWho Owns Your Health Data?—with Mika NewtonHealth data is deeply personal, yet it rarely belongs to the individual. Hospitals, labs, tech platforms, and researchers hold the information that defines our health, often without clear consent or transparency. As data grows more valuable, the people it comes from are often excluded from its benefits. Shifting ownership, improving access, and creating real control are essential steps toward giving individuals the power they deserve over their own health information.
2025-04-2207 minAI and HealthcareWhat Is A Digital Twin?—with Mika NewtonAI systems are no longer just tools, they’re starting to act on our behalf, powered by our data and often without our awareness. These digital twins, built from lab results, genomes, and behavior patterns, are shaping real decisions in healthcare and beyond. When that data is fragmented, outdated, or biased, the risks multiply. Building systems rooted in truth, transparency, and trust is the only way to ensure these technologies serve us - not replace us.
2025-04-2106 minAI and HealthcareAre We Heading To A Health Data Dystopia Or Utopia?—with Mika NewtonThe future of healthcare data could go in two very different directions. On one side is a system where consent is a checkbox, your data is used without your knowledge, and decisions about care, credit, and access are made by algorithms trained on broken information. On the other is a future where individuals own their data, control how it’s used, and benefit from its value. The choice isn’t science fiction, it’s already being made. Now is the time to decide which future we build.
2025-04-1902 minAI and HealthcareHow can AI improve the ER?—with Dr. Sanjay JunejaEmergency rooms are stretched thin, and AI might be the key to making them work better, for patients and clinicians. From ambient AI that cuts down on hours of documentation to large language models that surface critical patient history in seconds, new tools are helping doctors focus on care instead of paperwork. These innovations could ease burnout, reduce delays, and transform how decisions are made in the moments that matter most.
2025-04-1809 minAI and HealthcareIs Your Digital Twin Making Decisions Without You?—with Mika Newton [Full Podcast]We’re entering a future where AI isn’t just supporting healthcare - it’s shaping decisions, influencing outcomes, and acting on our behalf, often without us even realizing it. These systems are becoming digital twins of real people, powered by everything from lab results to behavior patterns, and the implications are massive. Jason Alan Snyder from Super Truth explains how your health data is being used to build digital versions of you - ones that can make decisions without your knowledge. He breaks down why this matters, how bad data leads to bad outcomes, and what it would look l...
2025-04-1731 minAI and HealthcareWhat can be done to reduce the cost of healthcare?—with Dr. Sanjay JunejaTackling healthcare costs requires both human connection and smarter use of technology. Dr. Alister Martin emphasizes the importance of trust, the power of patient navigators, and why AI is quickly becoming essential. With a focus on workforce upskilling and sustainable reimbursement models, there’s a clear path to reducing ER visits, improving outcomes, and making care more affordable.
2025-04-1606 minAI and HealthcareWhy is AI still so hard to implement in hospitals?—with Mika NewtonAI has the potential to transform healthcare, but adoption remains slow. Outdated IT infrastructure, strict data policies, high implementation costs, and concerns around bias and model performance all stand in the way. Scaling AI in hospitals requires more than just promising tools - it demands infrastructure that supports ongoing governance, transparency, and real-world impact.
2025-04-1509 minAI and HealthcareHow will AI actually change a doctor's daily work?—with Mika NewtonHealthcare is drowning in inefficiency - 80% of data is noise, and clinicians waste precious time on tasks that don’t improve patient outcomes. But AI is flipping the script. Imagine diagnosing lung cancer in seconds instead of digging through hours of records, or boosting revenue (RVUs) while actually enhancing care quality. Uncover the real barriers to AI adoption and how new platforms are cutting through vendor lock-in to make AI tools accessible in weeks, not months. From radiology to care coordination, AI isn’t just the future - it’s the lifeline healthcare needs today.
2025-04-1410 minAI and HealthcareHow can AI help identify ER frequent flyers?—with Dr. Sanjay JunejaMillions of dollars are being wasted in healthcare every year—not because of a lack of resources, but because people aren’t accessing the help that already exists. AI is starting to change that. By streamlining access to underused benefit programs, AI can help patients avoid unnecessary ER visits, reduce hospital strain, and cut costs across the healthcare system. Dr. Alister Martin shares how his work at Link Health is using AI to bridge the gap between patients and public resources, with real-world results backed by recent clinical trials. It’s a powerful example of how smart technology can drive...
2025-04-1110 minAI and HealthcareHow AI is Fixing Healthcare’s Cost Crisis—with Dr. Sanjay Juneja [Full Podcast]Healthcare costs are rising, but AI could be the key to fixing the system. Beyond improving patient care, AI has the potential to reduce administrative burdens, streamline workflows, and lower overall costs. Dr. Alister Martin has spent years at the intersection of medicine and social change, exploring how technology can make healthcare more efficient and accessible. This conversation looks at how AI-driven solutions can address both the financial and social challenges facing the healthcare industry.
2025-04-1046 minAI and HealthcareCan hospitals trust AI with sensitive patient data?—with Mika NewtonAI adoption in healthcare comes with complexities, from regulatory hurdles to the challenge of building secure, scalable systems that align with hospital needs. Finding the right balance between innovation and data privacy is key to ensuring these technologies can be effectively integrated into medical environments.
2025-04-0908 minAI and HealthcareWhat AI native Healthtech should we pay attention to?—with Mika NewtonAI is transforming healthcare by streamlining medical workflows, enhancing drug development, and driving more efficient, data-driven solutions. Krish Ramadurai shares insights on AI-native health tech, digital pathology, and the challenges of scaling automation in biotech, highlighting the impact of technology on the future of medicine.
2025-04-0812 minAI and HealthcareHow do you pick the right drug assets?—with Mika NewtonPicking the right drugs is a high-stakes game. Get it right more often than the competition, and the rewards are massive. Miss a few, and you’re out. So how do top investors and biotech leaders make smart bets? Understanding what pharma actually wants, securing multiple key advocates, and strategically managing risk are all part of the playbook. From clinical-stage assets to investor-backed decision-making, this deep dive unpacks how biotech companies position themselves for success—and what separates the winners from the rest.
2025-04-0504 minAI and HealthcareWhat in healthcare AI is real? And what is overhyped noise?—with Mika NewtonAI in healthcare is evolving fast, but how much of it is real progress—and how much is just hype? While AI-driven tools are reshaping clinical workflows and decision-making, many solutions struggle with integration, regulatory hurdles, and real-world adoption. The real winners? Companies that master proprietary data, streamline physician workflows, and build AI solutions that actually work within the constraints of healthcare. From clinical automation to imaging and diagnostics, the impact is undeniable—but replacing doctors? Not happening anytime soon. Where is AI making a real difference, and where is it just noise? Let’s break it down.
2025-04-0414 minAI and HealthcareWhy AI Won’t Replace Doctors—But Will Change Healthcare—with Mika Newton [Full Podcast]The future of healthcare is evolving rapidly, and technology is playing a bigger role than ever. Pelu Tran shares insights on how AI, data-driven decision-making, and digital tools are reshaping patient care and the way doctors work. From improving clinical workflows to making healthcare more accessible, these innovations are changing the industry in real time. We also explore the challenges of integrating new technology, the balance between automation and human expertise, and what the next decade of healthcare could look like. How will these advancements impact both patients and medical professionals?
2025-04-0238 minAI and HealthcareWhat is AI-enabled predictable and engineerable biology?—with Mika NewtonAI is transforming biotech, making drug development more predictable. From improving drug discovery to tackling the translatability crisis, new advancements are optimizing clinical success rates. Learn why many AI-designed drugs fail, how human data is reshaping the field, and why repurposing shelved assets might be the next big opportunity in pharma.
2025-04-0111 minAI and HealthcareWhy is continuous health monitoring not a reality yet?—with Dr. Sanjay JunejaWaiting until cancer is already formed before acting? That approach needs to change. Science now has the tools to detect the earliest warning signs—long before a tumor even develops. Breakthrough technologies like AI-driven monitoring and implantable sensors could transform how we detect disease, tracking subtle biological changes in real time. Instead of periodic tests that might miss critical moments, continuous screening could catch cancer in its earliest whispers—when prevention is still possible. If we already know the steps leading to cancer, why aren't we stopping them? The answers might surprise you.
2025-03-3113 minAI and HealthcareWhy Doctors Are Drowning in Data – And How AI Can Help—with Dr. Sanjay Juneja [Full Podcast]Understanding lab results can be overwhelming, but what if AI could help make sense of the data and improve patient care? Dr. Sanjay Juneja and David Norris explore how artificial intelligence is reshaping healthcare—reducing administrative burdens, detecting conditions like iron deficiency, and streamlining workflows. They also discuss how AI is giving doctors more time with patients by handling routine tasks, easing burnout, and enhancing provider-patient relationships. AI is transforming healthcare by improving efficiency, enhancing patient care, and raising important ethical questions about its role in medical practice.
2025-03-2640 minAI and HealthcareHow to use AI and longitudinal data collection to surface insights?—with Dr. Sanjay JunejaCancer detection is long overdue for a revolution. Current screening methods miss too much, cost billions, and often lead to false positives. But what if we could catch cancer at the very first cell—before it ever becomes a threat? A breakthrough technology could make that possible. AI, continuous monitoring, and implantable devices are reshaping how we detect disease, moving beyond outdated methods toward real-time, 24/7 tracking. Imagine a future where cancer is stopped before it even starts. Is this the next big leap in medicine?
2025-03-2608 minAI and HealthcareWhy are we waiting for cancer?—with Dr. Sanjay JunejaEarly cancer detection can save lives, yet traditional treatments often focus on late-stage disease. This episode explores the critical need for a shift in approach—studying human cells directly, improving model systems, and building a comprehensive tissue repository to better understand cancer at its earliest stages. Dr. Azra Raza shares insights on key differences in cancer progression between children and adults, along with the ethical and practical challenges of early intervention.
2025-03-2513 minAI and HealthcareIs Healthcare Tech Solving The Right Problems?—with Mika NewtonMika Newton and Dr. Nigam Shah explore whether healthcare technology and AI are addressing the right problems. They discuss the tendency to focus on easy solutions like using language models to respond to patient messages, which may not save time as expected. The conversation highlights the need to redefine goals and use AI for innovative approaches rather than just replicating existing tasks done by humans. They emphasize increasing access and efficiency in healthcare, like using AI for triaging patients and educational interactions, which can free up resources and potentially double service capacity.
2025-03-2113 minAI and HealthcareHow Do You Evaluate AI's Impact On Patient Care?—with Mika NewtonMika Newton speaks with Dr. Nigam Shah, a Stanford professor and Chief Data Scientist at Stanford Healthcare, about AI’s role in healthcare. They discuss evaluating AI’s impact on patient care, the challenges of benchmarking AI models, and the importance of using real-world data. The conversation explores how AI can enhance clinical decision-making, the need for well-defined research questions, and strategies for selecting the right data to improve healthcare outcomes.
2025-03-2009 minAI and HealthcareCracking AI in Healthcare: Real Use Cases & Missed Opportunities—with Mika Newton [Full Podcast]AI is reshaping healthcare, from clinical workflows to drug discovery and the rise of full-stack biotech companies. But what are the real challenges, and where is AI falling short? Mika Newton sits down with Krish Ramadurai from AIX Ventures to break down the complexities of AI in healthcare, the importance of domain expertise, and the push to automate clinical development. They also discuss how startups can navigate the industry’s regulatory landscape and what investors are looking for in AI-driven healthcare solutions. Whether you're in biotech, investing, or just curious about the future of AI, this discussion offers valuable in...
2025-03-1943 minAI and HealthcareCan AI Cure Cancer Before It Starts? Dr. Azra Raza Explains—with Dr. Sanjay Juneja [Full Podcast]Join Dr. Sanjay Juneja and Columbia University professor Dr. Azra Raza in an in-depth discussion about the transformative potential of AI and technology in early cancer detection. Dr. Raza shares her insights on how continuous monitoring and innovative technologies could find cancer at the 'first cell stage,' long before traditional methods. Learn about her journey from pediatric oncology to establishing one of the richest tissue repositories, and discover how AI-powered implantable devices could revolutionize the future of healthcare. This episode sheds light on the untapped possibilities in proactive cancer care and the critical shift needed to focus on...
2025-03-1356 minAI and HealthcareAre Current AI Developments Sustainable?—with Mika NewtonThis episode features Nigam Shah discussing the sustainability of AI in healthcare, focusing on challenges in development, validation, and regulation. The conversation explores the limitations of current AI models, the evolving role of governance, and the need for localized validation to ensure accuracy and relevance.
2025-03-0711 minAI and HealthcareRethinking AI in Healthcare: Insights from Dr. Nigam Shah—with Mika Newton [Full Podcast]In this episode, Mika Newton speaks with Dr. Nigam Shah, a professor at Stanford and Chief Data Scientist at Stanford Healthcare, about the challenges and opportunities of AI in healthcare. They discuss the sustainability of AI development, the complexities of regulation, and the importance of localized validation. The conversation explores how AI can enhance clinical decision-making, optimize healthcare resources, and expand patient access while addressing barriers in implementation, governance, and data sharing.
2025-03-0237 minAI and HealthcareBreaking Healthcare’s Bottleneck: AI, Data & Policy Fixes with Bob Battista and Mika Newton - Full PodcastThis podcast episode explores the intersection of AI and healthcare, focusing on drug development, repurposing, and access to medical treatments. Mika Newton speaks with Bob Battista about the challenges of sharing pharmaceutical data, regulatory barriers, and how AI could enhance clinical decision-making. They discuss real-world data, patient knowledge, and the role of technology in optimizing treatment pathways. The conversation also touches on privacy laws, governance, and the potential for AI to empower patients with better access to medical insights. Viewers will gain a deeper understanding of how innovation and policy changes could improve healthcare outcomes.
2025-02-2445 minAI and HealthcareWho is responsible for AI decisions?—with Mika NewtonMika Newton and Bob Battista explore how AI could reshape healthcare by giving patients greater control over their medical decisions. They discuss the potential for AI to process vast amounts of clinical data, improve access to relevant treatments, and bridge gaps in health literacy. The conversation also raises important questions about data sharing, patient autonomy, and the future of AI-driven support in medicine.
2025-02-1810 minAI and HealthcareHow is AI Changing Healthcare Decision Making?—with Mika NewtonMika Newton and Bob Battista discuss how AI is shaping healthcare decision-making. They explore its role in analyzing clinical evidence, updating guidelines dynamically, and personalizing treatment recommendations. The conversation also highlights challenges like regulatory restrictions and data silos that limit AI’s full potential in the industry.
2025-02-1405 minAI and HealthcareWhat is the biggest hurdle in drug repurposing today?—with Mika NewtonDrug repurposing offers a way to find new treatments using existing medications, but regulatory hurdles and financial disincentives often prevent progress. Mika Newton and Bob Battista examine the challenges of data sharing in the pharmaceutical industry, the high costs of clinical trials, and why companies hesitate to pursue niche indications. They also explore potential policy solutions that could encourage collaboration and make more life-saving treatments accessible to patients.
2025-02-1011 min