
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
Monday Apr 14, 2025
How will AI actually change a doctor's daily work?—with Mika Newton
Monday Apr 14, 2025
Monday Apr 14, 2025
Healthcare 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.
Friday Apr 11, 2025
How can AI help identify ER frequent flyers?—with Dr. Sanjay Juneja
Friday Apr 11, 2025
Friday Apr 11, 2025
Millions 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 both financial and human impact in medicine.
Thursday Apr 10, 2025
How AI is Fixing Healthcare’s Cost Crisis—with Dr. Sanjay Juneja [Full Podcast]
Thursday Apr 10, 2025
Thursday Apr 10, 2025
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.
Wednesday Apr 09, 2025
Can hospitals trust AI with sensitive patient data?—with Mika Newton
Wednesday Apr 09, 2025
Wednesday Apr 09, 2025
AI 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.
Tuesday Apr 08, 2025
What AI native Healthtech should we pay attention to?—with Mika Newton
Tuesday Apr 08, 2025
Tuesday Apr 08, 2025
AI 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.
Saturday Apr 05, 2025
How do you pick the right drug assets?—with Mika Newton
Saturday Apr 05, 2025
Saturday Apr 05, 2025
Picking 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.
Thursday Apr 03, 2025
What in healthcare AI is real? And what is overhyped noise?—with Mika Newton
Thursday Apr 03, 2025
Thursday Apr 03, 2025
AI 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.
Wednesday Apr 02, 2025
Why AI Won’t Replace Doctors—But Will Change Healthcare—with Mika Newton [Full Podcast]
Wednesday Apr 02, 2025
Wednesday Apr 02, 2025
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?

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.