Can AI Be Trusted to Discover New Medicine? | Dr. Jeremiah & David Bearss

Artificial intelligence is transforming medicine, but there is one major challenge that doesn't get enough attention. In this episode of the Good Medicine Podcast, Dr. David Bearss and Dr. Jeremiah Bearss discuss how AI models are trained, why scientific literature isn't always perfect, and what that means for the future of drug discovery. They explore how inaccurate or noisy data can influence AI systems, why reproducibility has become a major issue in scientific research, and the importance of building better datasets before relying on AI to develop the next generation of medicines. The conversation also highlights why improving the quality of science may be just as important as improving the quality of AI. Topics covered include: • Why AI is only as good as the data it learns from • The challenge of noise and reproducibility in science • Building better AI for the future of medicine 🎧 Listen on Spotify and Apple Podcasts 📺 Subscribe for more conversations on science, medicine, and innovation. Thank you to our sponsors BioHive: https://www.biohive.com Galvan: https://galvan.sng.link/D4mh8/oe8k/litt Follow Good Medicine Podcast Insta:   / good.medicine.podcast   X: https://x.com/GoodMedicinePod TikTok:   / good.medicine.podcast   LinkedIn:   / goodmedicinepodcast