{"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":"How to Identify the Blind Spots in Your Biotech's Genomic Data Before They Cost You a Drug Target","slug":"how-to-identify-the-blind-spots-in-your-biotech-s-genomic-data-before-they-cost-you-a-drug-target","published_at":"2026-09-02T17:00:23+00:00","page_url":"https://stenobird.com/podcast/data-in-biotech-6628050/how-to-identify-the-blind-spots-in-your-biotech-s-genomic-data-before-they-cost-you-a-drug-target","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-c63fa01ae1b2/435c6c5d-94a4-4973-89a8-59d17af68f3e.mp3","summary":"Most drug discovery genomic data comes from a thin slice of the world, and that bias follows every decision downstream. Your team can run a Mendelian randomization study on 35,000 patients and still walk away with a single signal that doesn't even apply to the population you care about. If your phenotype definitions are fuzzy, more data won't save you. Erika Kvikstad is a computational biologist who led precision medicine for cardiovascular disease at Bristol-Myers Squibb, working on therapies including Camzyos for hypertrophic cardiomyopathy. She now works independently on genomic data equity, focused on how reference populations shape everything from target discovery to clinical trial recruitment. You'll get a practical look at how to evaluate real-world data vendors, why heart failure is nearly impossible to define cleanly from billing codes, and where statistical power breaks down even with tens of thousands of patients. Erika also explains how her team used AI to reconstruct missing imaging data and validate cardiomyopathy diagnoses at scale. This episode covers GWAS studies, Mendelian randomization, UK Biobank, proteome-wide analysis, and the practical gap between biobank-scale data and disease-specific cohorts. It's built for data and analytics leaders working in life sciences who need to understand where genomic bias enters their pipeline, not just that it exists. Clarification Around 57:58–58:24, in discussing the proteome-wide Mendelian randomization study, Erika moved quickly between two related findings. BTN3A2 was identified as a candidate associated with ischemic stroke and potential immune-modulatory biology. Separately, single-cell expression data helped contextualize other candidate signals, including some with enriched expression in cardiomyocyte popu…","meta_description":"Most drug discovery genomic data comes from a thin slice of the world, and that bias follows every decision downstream. Your team can run a Mendelian rand…","key_points":[],"chapters":[],"topics":[],"duration_seconds":4208,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/data-in-biotech-6628050/episodes/how-to-identify-the-blind-spots-in-your-biotech-s-genomic-data-before-they-cost-you-a-drug-target/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/how-to-identify-the-blind-spots-in-your-biotech-s-genomic-data-before-they-cost-you-a-drug-target.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}