Ben Lengerich - Machine Learning & AI in Healthcare | Ep. 3

In this conversation, Ben Lengerich and Arseniy explore computational biology, focusing on deep learning, context-adaptive models, and AI interpretability in healthcare. They discuss challenges in foundation models, causality, anomaly detection, and balancing personalization with generalizability.00:00 Intro00:50 What is Computational Biology01:35 Advice for Students03:18 Deep Learning in Bio: 2018 vs 202506:49 Lengerich Lab08:17 Context-Adaptive ML11:52 Why Interpretability Matters19:45 Do LLMs possess Intelligence? 24:35 Model's Over-Personalization26:54 Support the Pod!27:27 Industry & Academia in Comp Bio34:05 Medical Data Anomalies 40:29 How to Catch Counter-Causalities 46:18 The Hospital of the Future49:38 Who Funds the Research54:36 Are There Leading Institutions?59:30 Vision for Medicine in 10 YearsSupport The PodcastPatreon: https://www.patreon.com/c/tommedpod/Guest Suggestion FormLink: https://forms.gle/rf8387Mr4s3MZmNq6Contact MeLinkedIn: https://www.linkedin.com/in/arsarsentyev/X: https://x.com/arsarsentyevOther PlatformsYouTube: https://www.youtube.com/@tom-med-podSpotify: https://open.spotify.com/show/3pRrtIXfcyjGey4VShawKtApple Podcasts: https://podcasts.apple.com/podcast/tomorrows-medicine/id1803923096