AI for Scientific Discovery
Curated tools, papers, and opportunities. No hype—just what actually works.
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View all →57 papers from arXiv & bioRxiv · Updated 4/21/2026
A Discordance-Aware Multimodal Framework with Multi-Agent Clinical Reasoning
arXiv:2604.16333v1 Announce Type: new Abstract: Knee osteoarthritis frequently exhibits discordance between structural damage observed in imaging and patient-reported symptoms such as pain. This mi...
paperMatched-Learning-Rate Analysis of Attention Drift and Transfer Retention in F...
arXiv:2604.16410v1 Announce Type: new Abstract: CLIP adaptation can improve in-domain accuracy while degrading out-of-domain transfer, but comparisons between Full Fine-Tuning (Full FT) and LoRA ar...
paperMulti-Label Phase Diagram Prediction in Complex Alloys via Physics-Informed G...
arXiv:2604.16468v1 Announce Type: new Abstract: Accurate phase equilibria are foundational to alloy design because they encode the underlying thermodynamics governing stability, transformations, an...
paperAlphaFold3: Accurate structure prediction of biomolecular interactions
DeepMind releases updated model handling proteins, DNA, RNA, ligands, and modifications.
toolChai-1: Open foundation model for molecular structure prediction
Multi-modal foundation model achieving state-of-the-art on drug-target interaction benchmarks.
newsRecursion acquires Exscientia for $688M in AI drug discovery consolidation
Major merger signals maturation of AI-native drug discovery platforms.
Categories
Research Papers
Curated papers from arXiv, bioRxiv, and journals with reproducible code and real-world impact.
ToolsModels & Tools
Open-source and commercial tools for drug discovery, protein design, and scientific computing.
JobsOpportunities
ML research roles at biotech companies, pharma, and academic labs.