Newest Interview

Podcast episode thumbnail image From Interview #105

How Digital Twins Could End Medical Guesswork

With Jim St. Clair and James Fargason

Digital twins are emerging as one of the most powerful tools to reduce uncertainty in medicine, particularly in oncology, where clinicians are often forced to make high-stakes decisions with incomplete data. In this full interview, Jim St. Clair and James Fargason explore how digital twin technology could fundamentally reshape healthcare by creating dynamic, data-driven virtual representations of patients that evolve in real time.

Drawing on advances from engineering, infrastructure, and aerospace, the conversation examines how patient-centric digital twins could integrate genomics, pharmacogenomics, environmental exposure, clinical history, and real-world data to improve treatment selection, reduce toxicity, and accelerate clinical trials. The discussion highlights why digital twins go beyond static AI predictions, emphasizing continuous feedback, simulation, and probability modeling.

The guests also address critical challenges, including data fragmentation, ownership, trust, and clinician adoption. As healthcare moves toward precision medicine and value-based care, digital twins may become indispensable tools for clinicians, researchers, and patients seeking more personalized, evidence-driven decisions.

Podcast episode thumbnail image From Interview #104

How Wearables Are Transforming Oncology Care

With Samara Barend

Medical-grade wearables are rapidly moving beyond wellness tracking and becoming essential tools in cancer care. In this episode, Samara Barend, CEO of AION Biosystems, joins leading oncology clinicians to explain how continuous, longitudinal patient data is reshaping early detection, treatment tolerance, and emergency prevention. Barend shares the development story behind TempShield, the first FDA-cleared long-term wearable designed to identify infection risk before it becomes life-threatening. The discussion explores how continuous temperature monitoring reduces preventable hospitalizations, why certain signals offer higher clinical value than others, and how providers can integrate these devices without overwhelming clinical workflows. The conversation also addresses interoperability, reimbursement, alert fatigue, and the shift toward simulation-driven precision medicine.

Podcast episode thumbnail image From Interview #103

The End of Cut, Poison & Burn: How AI is Rewriting Cancer Care

With Dr. Chadi Nabhan

In this thought-provoking episode, Dr. Chadi Nabhan joins a roundtable with Drs. Sanjay Jani, Douglas Flora, and Debra Patt to examine how AI is transforming oncology. Once dominated by the traditional “cut, poison, burn” approach, cancer care is undergoing a shift driven by precision tools, targeted therapies, and intelligent systems. Dr. Nabhan, a seasoned oncologist and prolific author, shares insights from his latest book and underscores the need for scalable education on emerging technologies. The conversation covers everything from digital pathology and drug development to patient communication and the emotional toll of missed timing in treatment. This episode offers a rich blend of clinical depth and personal reflection—an essential listen for healthcare professionals navigating cancer's new digital frontier.

 

Podcast episode thumbnail image From Interview #102

Disruption in Healthcare: AI, Policy, and Practical Change

With Mika Newton

In this roundtable episode from Tensor Black, Dr. Doug Flora joins co-hosts Dr. Sanjay Juneja, Debra Patt, and Mika Newton to explore how artificial intelligence is disrupting U.S. healthcare policy, oncology practice, and digital health innovation. Dr. Flora, Executive Medical Director of Oncology Services at St. Elizabeth Healthcare and Editor-in-Chief of *AI in Precision Oncology*, offers candid insights on change management, clinical decision support, and value-based care. The panel also dissects major themes from the Health conference, Medicare’s AI-driven authorization model, and how AI tools like chart summarization can reshape patient access and clinical efficiency. This discussion, designed for healthcare executives and oncology leaders, highlights how AI is not only augmenting decisions but demanding new strategies for adoption, reimbursement, and scale.

All Interviews

Series Highlights

Podcast episode thumbnail image From Interview #100

How Patient Design Shapes the Future of Healthcare

With Dr. Bertalan Meskó

Dr. Bertalan Meskó, MD, PhD, Director of The Medical Futurist Institute, explains the concept of patient design and why it is critical to the future of healthcare. In this interview highlight, he defines patient-centered design and describes how involving patients in decision-making improves innovation, trust, and outcomes. For clinicians, executives, and health system leaders, this perspective provides clarity on how to integrate patient voices into care models and digital health solutions. With global experience analyzing medical technology trends, Dr. Meskó emphasizes that designing healthcare systems without patient participation is not only outdated but also ineffective. This discussion offers practical insights for leaders aiming to strengthen healthcare delivery through patient involvement.

Podcast episode thumbnail image From Interview #99

The Role of AI in Future Value-Based Care Reimbursement

With Stephen Speicher, MD, MS

Dr. Stephen Speicher, Senior Medical Director at Flatiron Health, offers a thought-provoking look into how artificial intelligence may become a requirement—not just an option—in future value-based care models. In this clip, he explores whether insurers might eventually mandate AI use in clinical decision-making as a condition for reimbursement, especially if AI demonstrates measurable improvements in patient outcomes. While the cost of AI today often falls on the healthcare provider, Speicher suggests a future where insurers not only pay attention to AI utilization but actively incentivize or even demand it. This shift could redefine how 'value' is operationalized in value-based healthcare, raising new questions about reimbursement, care quality, and access. His insights offer a forward-looking framework for understanding the evolving intersection of health tech and reimbursement models.

Podcast episode thumbnail image From Interview #99

Informed Consent and AI: Should Patients Have a Choice?

With Dr. Stephen Speicher

Dr. Stephen Speicher, Head of Clinical Oncology and Safety at Flatiron Health, shares insights on the evolving dynamics of informed consent in the age of artificial intelligence. As AI tools become increasingly embedded in clinical workflows, Speicher discusses whether patients should be informed, opt out, or share responsibility in these decisions. He addresses the ambiguity surrounding consent for ambient AI tools and the ethical dilemmas clinicians face when transparency meets technological complexity. The conversation underscores that as AI shifts toward becoming a standard of care, questions of healthcare informed consent and patient privacy become not only technical but deeply human. Speicher provides a thoughtful, systems-level view of this important intersection of AI and informed consent.

Podcast episode thumbnail image From Interview #100

Why Talking to Your Future Self Helps You Act Now

With Dr. Bertalan Mesko

Dr. Bertalan Mesko, Director of The Medical Futurist Institute, reveals how vision writing and the concept of “future selves” can dramatically impact our present-day decisions. In this segment, he shares how imagining yourself in future scenarios—whether as a parent, professional, or even a teenager with braces—can create emotional alignment and long-term motivation. Vision writing isn't a rigid forecasting tool, but a narrative-driven method to make future thinking more personal and actionable. Healthcare professionals and digital health strategists may find particular value in the psychological dimension of foresight, as it supports not just innovation planning but also behavior change—an underutilized lever in organizational and patient transformation.

Listen & Subscribe

About the Series

AI and Healthcare—with Mika Newton and Dr. Sanjay Juneja is an engaging interview series featuring world-renowned leaders shaping the intersection of artificial intelligence and medicine.

Dr. Sanjay Juneja, a hematologist and medical oncologist widely recognized as “TheOncDoc,” is a trailblazer in healthcare innovation and a rising authority on the transformative role of AI in medicine.

Mika Newton is an expert in healthcare data management, with a focus on data completeness and universality. Mika is on the editorial board of AI in Precision Oncology and is no stranger to bringing transformative technologies to market and fostering innovation.

Get new episode alerts via email

By clicking the Submit button, you agree to xCures's Terms of Service and Privacy Policy.