{"podcast":{"title":"Data in Biotech","slug":"data-in-biotech-6628050","podcast_index_feed_id":6628050,"rss_url":"https://feed.pod.co/data-in-biotech","website_url":"https://www.corrdyn.com/","image_url":"https://images.pod.co/0up9NpIiXg38dg9ONujjEbhtOuwAOa32iObZVZ8ridQ/resize:fill:1500:1500/plain/artwork/9bd88ed6-6c74-4788-924c-56be77376f84/data-in-biotech.jpg","author":"CorrDyn","episode_count":77,"summary":"Data in Biotech is a fortnightly podcast exploring how companies leverage data to drive innovation in life sciences. Every two weeks, Ross Katz, Principal and Data Science Lead at CorrDyn, sits down with an expert from the world of biotechnology to understand how they use data science to solve technical challenges, streamline operations, and further innovation in their business. You can learn more about CorrDyn - an enterprise data specialist that enables excellent companies to make smarter strategic decisions - at www.corrdyn.com","last_synced_at":"2026-09-03T06:17:20.333193+00:00","page_url":"https://stenobird.com/podcast/data-in-biotech-6628050"},"episode":{"title":"From Tissue to Mechanism to Decision: Building AI for Computational Oncology","slug":"from-tissue-to-mechanism-to-decision-building-ai-for-computational-oncology","published_at":"2026-06-02T17:00:27+00:00","page_url":"https://stenobird.com/podcast/data-in-biotech-6628050/from-tissue-to-mechanism-to-decision-building-ai-for-computational-oncology","show_page_url":"https://stenobird.com/podcast/data-in-biotech-6628050","url":"https://www.corrdyn.com/","audio_url":"https://downloads.pod.co/5fac40cd-043b-485f-838d-c63fa01ae1b2/fa743fbd-dffe-4551-a7d9-906024888541.mp3","summary":"In this episode of Data in Biotech, host Ross Katz sits down with Arvind Rao, Professor of Computational Medicine and Bioinformatics at the University of Michigan, for a discussion on the gap between what biomedical AI can do and what it can reliably be trusted to do in clinical practice. Arvind's research sits at the intersection of computational oncology and AI governance and his lab works across H&E histopathology, multiplex immunofluorescence, spatial transcriptomics, and single-cell RNA sequencing, not just to build predictive models, but to understand the full lifecycle from data to model to inference, and to ask where that lifecycle can be trusted and where it can't. The conversation moves through two of his recent papers on SPIFEE, a graph-based framework that replaces scalar interaction scores in the tumor microenvironment with spatially resolved functional representations, and a multimodal framework that traces a path from stained tissue slides to nominated drug targets via morphological pattern discovery and spatial transcriptomic mapping. What you’ll learn in this episode: >> Why the field's central failure is not algorithmic but translational and the gap between a model that performs well on a benchmark and one that can be consistently trusted in a high-stakes clinical setting >> How SPIFEE replaces the conventional scalar edge representation of cell-cell interactions in the tumor microenvironment with spatially resolved functional edges >> How Arvind's multimodal framework moves from H&E pathology slides labeled with clinical outcomes, through morphological pattern discovery via multiple instance learning, to spatial transcriptomic mapping, to the nomination of molecular mechanisms and actionable drug targets >> Why Goodhar…","meta_description":"In this episode of Data in Biotech, host Ross Katz sits down with Arvind Rao, Professor of Computational Medicine and Bioinformatics at the University of…","key_points":[],"chapters":[],"topics":[],"duration_seconds":2814,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/data-in-biotech-6628050/episodes/from-tissue-to-mechanism-to-decision-building-ai-for-computational-oncology/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/data-in-biotech-6628050/from-tissue-to-mechanism-to-decision-building-ai-for-computational-oncology.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}