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Drug Discovery AI Talk

Dr. Jake Chen
Artificial Intelligence
Drug Discovery
Clinical Trials
AI Drug Discovery
Drug Development
Cancer Treatment
FDA
Oncology
AI In Drug Discovery
Alzheimer's Disease
CAR T Cell Therapy
Pharmaceutical Industry
Antibody-Drug Conjugates
Synthetic Biology
Insilico Medicine
Chronic Autoimmune Diseases
Neuroendocrine Peptides
Autism Spectrum Disorder
Vaccines
Digital Twins

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

PublishesWeeklyEpisodes78Foundeda year ago
Number of ListenersCategories
Tech NewsNews

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Artwork for Drug Discovery AI Talk

Latest Episodes

Three fresh stories, one question: what happens when AI stops needing a protein's 3D shape and starts working with biology as it actually behaves? A virtual cell trained on proteins rather than genes predicts how cancer cells respond to drugs hour by... more

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: from ultra-l... more

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 celebrating... more

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 molecule to reac... more

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Recent Guests

Joshua Meyer
Founder, Chai Discovery
Chai Discovery
Episode: #72. 2026 Emerging Trends
Matt McPartland
Founder, Chai Discovery
Chai Discovery
Episode: #72. 2026 Emerging Trends
Jacob Berlin
CEO
Tera Therapeutics
Episode: #72. 2026 Emerging Trends
Daphne Koller
Founder, (various ventures in AI and biotech)
Xyre Therapeutics (context)
Episode: #72. 2026 Emerging Trends
Ben Liu
Founder
Formation Bio
Episode: #72. 2026 Emerging Trends
Iswa Kaluru
Founder
Inveda
Episode: #72. 2026 Emerging Trends
Evan Feinberg
Executive (Genesis Molecular AI)
Genesis Molecular AI
Episode: #72. 2026 Emerging Trends
Alex Savarankoff
Executive
Insilico Medicine
Episode: #72. 2026 Emerging Trends
Jake Chen
Dr. Jake Chen, researcher focusing on computational toxicology and AI-driven safety modelling
Episode: #62. Predicting Toxicity

Reviews

5.0 out of 5 stars from 3 ratings
  • Brilliant Episode

    I have no domain expertise and yet I could easily understand this episode! Absolutely well executed and offers a brilliant primer and insights

    Audible
    5
    M Mbaakanyi
    United States10 months ago
  • I have no domain expertise and yet I could easily understand this episode! Absolutely well executed and offers a brilliant primer and insights

    Audible
    5
    M Mbaakanyi
    United States10 months ago
  • The expertise and research

    Experienced hosts, well researched and excellent way to come to all levels of audiences. Very engaging and enlightening

    Audible
    5
    jai prakash
    United States10 months ago
  • Experienced hosts, well researched and excellent way to come to all levels of audiences. Very engaging and enlightening

    Audible
    5
    jai prakash
    United States10 months ago

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#162
United States/News/Tech News
Apple Podcasts
#195
United Kingdom/News/Tech News
Apple Podcasts
#110
Germany/News/Tech News
Apple Podcasts
#246
Australia/News/Tech News
Apple Podcasts
#16
Saudi Arabia/News/Tech News
Apple Podcasts
#17
Singapore/News/Tech News

Talking Points

Recent interactions between the hosts and their guests.

#62. Predicting Toxicity
Q: What role do organoids play in this new approach?
Mature bile duct organoids are used to test the predicted metabolites under realistic stress conditions, allowing the AI to observe subtle morphological and cellular changes that signaling assays might miss.
#62. Predicting Toxicity
Q: How does the proposed multi-layered framework change the workflow of toxicity prediction?
The framework forces the AI to track the drug chronologically, predict metabolites after liver processing, evaluate transport to bile ducts, and incorporate organoid testing and transcriptomic data to model real biological responses.
#62. Predicting Toxicity
Q: What is the fundamental flaw in current AI toxicology models when predicting liver toxicity?
Current models tend to focus on the parent compound and ignore how enzymes in the liver metabolize drugs into reactive byproducts, which can trigger liver injury in real-world scenarios; they also overlook patient-specific biology and the dynamic progression of toxicity.
#6. AI in Drug Discovery - Reality Check (04/21/2025)
Q: Where do you see AI making the biggest near-term impact in drug discovery?
The discussion suggests interest in specific areas ripe for AI application and the need for deep human-driven investigation for fundamental biological questions.
#27. Druggability and AI
Q: What do you think the future looks like for drug discovery?
It demands a much more integrated and agile approach to drug development, leveraging AI platforms for target prioritization.

Audience Metrics

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Frequently Asked Questions About Drug Discovery AI Talk

What is Drug Discovery AI Talk about and what kind of topics does it cover?

A technically minded analysis of how artificial intelligence is changing drug discovery, from target identification and molecular design to laboratory testing and clinical development. Episodes combine discussion of research, company strategies, regulatory developments and market shifts, with a recurring emphasis on the gap between computational predictions and evidence from biological experiments and human trials. The format is primarily analytical conversation, using case studies, scientific papers and industry developments to assess what AI methods can and cannot establish.

Coverage ranges across foundation models, autonomous laboratories, molecular glues, systems pharmacology, data quality and the economics of pharmaceutical platforms.... more

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1. BioCentury This Week
2. Biotech Hangout
3. The Readout Loud
4. WSJ What’s News
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Drug Discovery AI Talk launched a year ago and published 78 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Drug Discovery AI Talk?

Recent guests on Drug Discovery AI Talk include:

1. Joshua Meyer
2. Matt McPartland
3. Jacob Berlin
4. Daphne Koller
5. Ben Liu
6. Iswa Kaluru
7. Evan Feinberg
8. Alex Savarankoff

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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