
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. Discover how AI is transforming healthcare today, addressing real-world challenges and improving patient outcomes.
This series caters to anyone’s listening style with bite-sized, commute-friendly insights and full-length interviews. Join co-hosts Mika Newton, CEO of xCures, and Dr. Sanjay Juneja, a globally recognized oncologist and VP of Clinical AI at Tempus AI, as they explore cutting-edge innovations with industry pioneers.
Originally launched as the TARGET: Cancer Podcast in 2021, the series evolved after 75 episodes into a comprehensive platform for AI and healthcare conversations.
Episodes
Oct 10, 2025
Oct 10, 2025
3 min
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.
Oct 6, 2025
Oct 6, 2025
6 min
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.
Oct 3, 2025
Oct 3, 2025
6 min
What 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.
Oct 2, 2025
Oct 2, 2025
3 min
Predictive 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.
Sep 30, 2025
Sep 30, 2025
55 min
What 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.
Sep 29, 2025
Sep 29, 2025
3 min
Should 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.
Sep 26, 2025
Sep 26, 2025
9 min
Interoperability 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.
Sep 25, 2025
Sep 25, 2025
54 min
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.

AI and Healthcare is brought you by xCures.
xCures consolidates medical records, normalizing and structuring them into a comprehensive, searchable dataset of all of a patient's clinical data.
