Jonathan Chen, MD, PhD—Assistant Professor of Medicine and Biomedical Informatics at Stanford University—joins the show and offers a pragmatic look at how data science and AI can be meaningfully integrated into everyday medical practice. He breaks down how complex clinical data can be translated into intuitive, real-world use cases, from algorithm-driven decision support in cancer diagnosis to recommendations that fit seamlessly into day-to-day clinician workflows. The conversation also explo...
All content for Healthcare Unfiltered is the property of Chadi Nabhan and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Jonathan Chen, MD, PhD—Assistant Professor of Medicine and Biomedical Informatics at Stanford University—joins the show and offers a pragmatic look at how data science and AI can be meaningfully integrated into everyday medical practice. He breaks down how complex clinical data can be translated into intuitive, real-world use cases, from algorithm-driven decision support in cancer diagnosis to recommendations that fit seamlessly into day-to-day clinician workflows. The conversation also explo...
Episode 253: Advances in Mutation-Driven Lung Cancer
Healthcare Unfiltered
35 minutes
1 month ago
Episode 253: Advances in Mutation-Driven Lung Cancer
Chadi resumes his WCLC review with Dr. Eric Singhi of The University of Texas MD Anderson Cancer Center, exploring the most significant updates in mutation-driven lung cancer presented at this year’s meeting. The discussion dives into advances in sequencing and molecular profiling to identify actionable genomic alterations (AGAs) and how these findings are transforming both early- and late-stage treatment strategies. Dr. Singhi highlights key data from the ADAURA, TARGET, and NAUTIKA1 studies...
Healthcare Unfiltered
Jonathan Chen, MD, PhD—Assistant Professor of Medicine and Biomedical Informatics at Stanford University—joins the show and offers a pragmatic look at how data science and AI can be meaningfully integrated into everyday medical practice. He breaks down how complex clinical data can be translated into intuitive, real-world use cases, from algorithm-driven decision support in cancer diagnosis to recommendations that fit seamlessly into day-to-day clinician workflows. The conversation also explo...
