Nature Biotechnology, Published online: 06 October 2026; doi:10.1038/s41587-026-03303-0An interpretable artificial intelligence framework predicts hypertensive disorders of pregnancy using retinal images and vascular modeling.
Glioblastoma, the most aggressive cancer that begins in the brain, has stubbornly resisted decades of progress in oncology. Even with the current standard of care, which...
Roche announced it's building autonomous AI-powered labs; how a clinical hold on an epilepsy trial could impact Biohaven
Digital health firm Everlywell is rolling out a Clairity AI, which can assess the risk of developing breast cancer from a mammogram, across the US.
AI has been one of the biggest buzzwords in biotech for years now but actual R&D productivity gains have been hard to find. My guest today...
Nature Biotechnology, Published online: 01 October 2026; doi:10.1038/s41587-026-03307-wCalibration-aware evaluation of perturbation models shows that deep learning models can outperform baselines.
Intrinsically disordered proteins have resisted structure-based drug discovery because they lack a stable fold to model. Talus Bio's structure-free AI model sidesteps that limitation, targeting these...
Under the agreement, Profluent will deploy its proprietary suite of protein language models to generate new potential drug candidates. BioMarin will screen and evaluate the computational...
The strongest binder from a primary screen is not necessarily the best drug starting point. Peptide discovery campaigns should capture molecular architecture, biological context, time, and...
The error points to a big question for pharma as AI gains autonomy and high-profile failures sharpen safety concerns: What happens when a wrong answer becomes...
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