
César de la Fuente's lab uses OpenAI's Codex and ChatGPT to hunt new antibiotics
The University of Pennsylvania team mines living and extinct genomes with GPT-powered tools to surface antimicrobial candidates against drug-resistant infections.
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Every story tagged Drug Discovery on AI Chat Daily.

The University of Pennsylvania team mines living and extinct genomes with GPT-powered tools to surface antimicrobial candidates against drug-resistant infections.

AI can design candidates from scratch, but training data gaps and lab automation limits keep the first AI-designed drug 2 to 3 years from FDA approval.

The pharma giant becomes an early customer for Nvidia's latest AI hardware, deploying it to accelerate small-molecule and biologic discovery.

Lightspeed is in discussions to lead the round as Wang and other OpenAI researchers leave to build AI models for drug repurposing.

A Technical University of Denmark team used an ORCA Computing quantum machine to improve peptide predictions where training data is thin.

The AI lab is hiring biologists, building wet labs, and putting itself in direct competition with the pharma customers it sells to.

The BioNeMo Agent Toolkit lets Claude agents call accelerated drug-discovery workflows directly, with one preprocessing step dropping from 52 minutes to 25 seconds.

The Alphabet spinout integrates its physics-grounded quantitative models into Anthropic's LLM, targeting the $50T quantitative economy.

The Stanford spinout from Nobel laureate Carolyn Bertozzi's lab is building AI tools to sort through thousands of drug candidates faster than mass spectrometry.
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