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Drug Discovery AI Talk

by Dr. Jake Chen
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Ranking history · India

Latest daily rankings: Oct 21. New rankings will appear after the next update.

Recent history only — this show has no current ranking on the News, India chart. These are recorded positions from the last 7 days, not current rankings.

Position on the News, India combined chart over the last 7 days. Toggle platforms to compare their positions. Lower rank numbers are better.

#182#187#192#197#202Chart rankOct 19Oct 20Oct 21
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DateCombined RankApple Podcasts
Oct 21——
Oct 19#192#192

Latest episodes

  • #78. From Too Few to Too Many

    October 16, 2026 · 22 min

    AI can now generate millions of molecules, thousands of drug targets, and entire scientific manuscripts in hours — but our capacity to validate any of it hasn't kept pace. This episode walks through the trust crisis in AI drug discovery…

  • Virtual Biology's Reality Check

    October 9, 2026 · 26 min

    Biohub's Virtual Biology Initiative just expanded to $1.8 billion — backed by the DOE, NIH, Google DeepMind, Isomorphic Labs, and Meta — to build the data foundations for predictive AI in biology. But a new perspective argues the field is…

  • #76. AI's Phase III Moment

    October 2, 2026 · 22 min

    On September 10, 2026, Insilico Medicine dosed the first patient in the Phase III GENESIS-IPF-3 trial of rentosertib (ISM001-055) for idiopathic pulmonary fibrosis - the first drug with both an AI-discovered target and an AI-designed…

  • #75. The AI Patent Landscape 2026

    September 25, 2026 · 21 min

    In this episode, we examine how AI-native biotechnology companies are reshaping drug discovery through the lens of their intellectual-property portfolios. The evidence suggests that these firms are becoming significantly more productive at…

  • #74. Is Drug Discovery AI Safe?

    September 18, 2026 · 21 min

    In this podcast, we study how integrating agentic AI into autonomous wet labs promises rapid therapeutic innovation, while connecting autonomous models directly to physical lab instruments creates critical security risks. These range from…

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  • #73. The Triumph of Daraxonrasib

    September 11, 2026 · 19 min

    For decades, KRAS stood as oncology’s archetypal “undruggable” target—a powerful cancer driver with no obvious pocket for conventional medicines to grasp. This episode explores how molecular-glue drugs such as daraxonrasib overturn that…

  • #72. 2026 Emerging Trends

    September 4, 2026 · 24 min

    In this podcast, we show a pivotal shift in 2026 for AI drug discovery toward integrated, AI-native R&D systems that move beyond simple algorithmic tasks to form closed-loop learning environments. In this new phase, the industry focuses…

  • #71. Magic Wands

    August 28, 2026 · 24 min

    In this episode, we critically examine whether AI drug discovery is solving the hardest problems in medicine—or simply making the easier ones faster. At the center of the discussion is Daphne Koller’s argument that the industry has…

  • #70. Beyond AlphaFold

    August 24, 2026 · 23 min

    In this episode, we venture beyond protein structure prediction into the messy, stochastic reality of modeling the virtual cell. We examine why biology still lacks an AlphaFold-like solution for predicting the behavior of entire cells and…

  • #69. CollaboFest

    August 7, 2026 · 23 min

    What if we could turn a spark of biological insight into a real-world, life-saving treatment? That is the core mission of CollaboFest, an innovative initiative designed to break down the slow, traditional bottlenecks of drug discovery…

  • #68. Molecular Glues in Therapy

    July 31, 2026 · 22 min

    In this episode, we explore the rapid evolution of molecular glues, a breakthrough in targeted protein degradation that stabilizes protein interactions to treat previously incurable diseases. Historically discovered by chance, this field…

  • #67. Does Size Matter?

    July 24, 2026 · 21 min

    In this episode, we examine whether increasing the size and depth of neural networks truly enhances molecular property prediction compared to traditional machine learning. A recent study reveals that classical models using chemical…

Full episode archive on Apple Podcasts →

About the show

Late-breaking advances in AI-enabled drug discovery, including news, research progress, market trends, and interviews