# Episode 3: Limitations of AI in Life Sciences

Page: https://stenobird.com/podcast/from-models-to-medicine-7769799/episode-3-limitations-of-ai-in-life-sciences
Text version: https://stenobird.com/podcast/from-models-to-medicine-7769799/episode-3-limitations-of-ai-in-life-sciences.md
Podcast: [From Models to Medicine](https://stenobird.com/podcast/from-models-to-medicine-7769799)
Published: 2026-04-01T16:04:00+00:00
Episode link: https://podcasters.spotify.com/pod/show/kami-think-tank/episodes/Episode-3-Limitations-of-AI-in-Life-Sciences-e3h761h
Audio file: https://anchor.fm/s/110164688/podcast/play/117724657/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-2-31%2F4d35fac8-ed6e-503c-575f-15ed760634d9.mp3
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JSON: https://stenobird.com/v1/public/podcasts/from-models-to-medicine-7769799/episodes/episode-3-limitations-of-ai-in-life-sciences
Duration seconds: 2218

## Resource

In this episode of From Models to Medicine, we sit down with Rachel Thomas to discuss the growing gap between AI hype and scientific reality in the life sciences. The conversation highlights the hidden costs of poor data quality and the necessity of domain expertise, featuring deep dives into real-world AI missteps, from a flawed enzyme classification paper to an app's mishandling of long-COVID data.

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## Transcript

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