Precision Signals

Precision Signals
Podcast Description
Precision Signals is a podcast from the CEO Roundtable on Cancer about decoding biomedical progress: what’s real, what matters, and what’s next. We talk with scientists, regulators, investors, and builders operating across the messy interface of research, healthcare, and policy. Some are moving the system from within; others are reshaping it from the outside. All of them bring signal in a world crowded with noise.
Podcast Insights
Content Themes
The podcast covers critical topics related to biomedical research, healthcare systems, and regulatory frameworks. Episodes like 'The Mission is the Boss' focus on the challenges in clinical trials, discussing the journey of innovators like Dr. Michelle Longmire, while another episode, 'AI in Oncology: Hype, Evidence, and the Threshold of Clinical Trust', dives into the critical necessity of randomized trials for AI adoption in cancer care, illustrating the intricate balance between innovation and practical application.

Precision Signals is a podcast from the CEO Roundtable on Cancer about decoding biomedical progress: what’s real, what matters, and what’s next. We talk with scientists, regulators, investors, and builders operating across the messy interface of research, healthcare, and policy. Some are moving the system from within; others are reshaping it from the outside. All of them bring signal in a world crowded with noise.
In this episode of Precision Signals, Dr. Sean Khozin speaks with Dr. James Gulley, Chief of the Medical Oncology Service and Co-Director of the Center for Immuno-Oncology at the National Cancer Institute.
Dr. Gulley is one of the world’s leading figures in immuno-oncology. He helped bring immune-based cancer therapies from an era of skepticism into a clinical mainstay, shaping both the science and the clinical frameworks that define the field today.
Their conversation explores the critical frontiers of immunotherapy: the limits of predictive biomarkers, the biological opacity of treatment resistance, and the shortcomings of current trial designs. They discuss adaptive clinical trials, new endpoints, and the integration of AI into clinical research. Emerging tools such as digital pathology, wearable monitoring, and continuous physiologic data capture are highlighted, including recent work detecting CAR-T toxicity before it becomes clinically evident.

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