How AI Predicts Whether a Drug Actually Works—Not Just Fits
There is a question that has quietly haunted drug discovery for decades, one that sounds almost too basic to be a problem. A molecule...
Transforming All-Atom De Novo Design of Protein Design Using RFdiffusion3
A major collaboration led by David Baker’s group at the Institute for Protein Design (UW) introduced RFdiffusion3 (RFD3), a next-generation version of the originally...
MHub.ai: Standardizing AI for Reproducible Medical Imaging
An inter-institutional collaboration across the US, Germany, and the Netherlands introduces MHub.ai, an accessibility and reproducibility-prioritizing, open source platform for standardized access to AI...
ConGLUDe: Toward General-Purpose Foundation Models for Drug Discovery
Researchers from Johannes Kepler University Linz, Austria, and Merck HealthCare, Germany, developed ConGLUDe (Contrastive Geometric Learning for Unified Computational Drug Design), an AI-based model for drug...
Claude Opus 4.5 and the Future of AI-Driven Research in Healthcare and Biotechnology
The growing complexity of biomedical research and healthcare demands AI systems that can go beyond general assistance to support end-to-end scientific workflows. Building on...