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Drug Discovery
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One Model, Three Jobs: How Foundation Models Are Collapsing the Drug Discovery Pipeline
A peer-reviewed PMC review shows small computational biology teams can now run target identification, molecular generation, and toxicity prediction through a single AI pipeline , work that once required separate specialized groups.
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Insilico Medicine Launches Benchmark Leaderboards for AI Drug Discovery Models
The MMAI Gym platform introduces standardized evaluation metrics, addressing a critical gap in pharmaceutical AI research assessment.
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AI Model Discovers Molecules With Record-Breaking Dipole Moments in Places Nobody Expected
New machine learning framework finds molecular properties hiding in computational blind spots, opening fresh avenues for materials discovery
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Big Pharma Plants Its AI Flag in London's Knowledge Quarter
Boehringer Ingelheim's new AI center reveals how pharmaceutical giants are reshaping drug discovery through strategic geographic positioning
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OpenAI's GPT-Rosalind Brings AI Drug Discovery Out of the Academic Lab
OpenAI's new biology-focused model signals a shift toward domain-specific AI applications in life sciences research
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AI Models Now Predict Molecular Behavior by Learning From Explosive Fragments
Recent breakthroughs show how machine learning is transforming materials discovery by reconstructing molecules from fragmented data
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When Machine Learning Meets Physics: How Hybrid AI Cracked Tuberculosis Drug Discovery
A Nature-published breakthrough shows why combining different AI methodologies beats single-approach models in complex biological problems
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