In this episode of The Future of Medicine, we welcome Yvonne "Bonnie" Maldonado, pediatrician and infectious disease expert at Stanford, for a powerful conversation on vaccines, public health, and the fragile progress of modern medicine.

Dr. Maldonado reflects on the lessons behind her Grand Rounds talk, “Lessons from a House on Fire,” drawing from the global eradication of smallpox, one of humanity’s greatest public health achievements. She explains how targeted vaccination strategies helped stop a disease that once killed millions, and why that history still matters today.

The conversation explores the growing resurgence of measles in the United States, driven in part by declining vaccination rates. Dr. Maldonado breaks down how measles spreads, why it remains one of the most infectious diseases known, and what current trends could mean for the future of public health.

She also examines the roots of vaccine hesitancy, highlighting how risk perception, misinformation, and trust in institutions shape individual decision-making. From social media echo chambers to shifting federal policies, Dr. Maldonado discusses the complex forces influencing how people engage with science today.

Looking ahead, she shares her perspective on rebuilding trust in medicine, the role of communication in public health, and why even small changes in vaccination rates can have large-scale consequences.

Thank you for listening!

Call to action: If you enjoy The Future of Medicine, subscribe for more conversations with leading scientists shaping the next era of healthcare. Please rate and review the podcast to help others discover these important discussions. Share with friends and colleagues who are curious about how science becomes medicine.

In this episode of The Future of Medicine, we welcome Priscilla Chan, MD, pediatrician and co-founder of Biohub, a first-of-its-kind research initiative combining frontier AI with frontier biology to accelerate progress toward curing or preventing all disease.

Dr. Chan shares how her experience caring for children with rare and undiagnosed conditions shaped her commitment to transforming how science is done. She discusses how patient-led research communities are driving breakthroughs, and how new approaches to data sharing and collaboration are reshaping the pace of discovery.

The conversation explores Biohub’s work to build a “virtual cell”—a computational model designed to simulate human biology—and how advances in artificial intelligence, large-scale datasets, and imaging technologies could allow scientists to better understand disease at its most fundamental level. These tools may one day make it possible to predict disease risk earlier, test interventions virtually, and personalize treatment based on an individual’s biology.

Dr. Chan also reflects on the future of medicine, where the boundaries between research and clinical care continue to blur, and where physicians increasingly engage with data, biology, and technology to guide patient care in real time.

Looking ahead, she shares her vision for a more proactive and precise healthcare system—one that moves beyond treating illness to anticipating and preventing it.

Thank you for listening!

Call to action: If you enjoy The Future of Medicine, subscribe for more conversations with leading scientists shaping the next era of healthcare. Please rate and review the podcast to help others discover these important discussions. Share with friends and colleagues who are curious about how science becomes medicine.

In this episode of The Future of Medicine, we welcome Jonathan Chen, MD, PhD, clinician, AI researcher, and Associate Professor at Stanford, whose work focuses on combining human and artificial intelligence to improve clinical decision-making.

Dr. Chen reflects on the rapid rise of AI in medicine, and the moment he realized everything had changed. He also walks through surprising findings from his research, including studies showing that AI alone can sometimes outperform doctors using AI tools. He explains why this happens, from human bias and “automation errors” to the ways AI systems are designed to agree with users, even when they’re wrong.

Looking ahead, Dr. Chen shares his perspective on the future of AI in medicine, including the risks of overreliance, the importance of clinical judgment, and how these tools could transform everything from medical education to patient care. He also explores the concept of “do no harm” in AI systems—and why safety and accuracy are not the same thing.

Thank you for listening!

Call to action: If you enjoy The Future of Medicine, subscribe for more conversations with leading scientists shaping the next era of healthcare. Please rate and review the podcast to help others discover these important discussions. Share with friends and colleagues who are curious about how science becomes medicine.