Cambridge researchers map the convergence of biomarkers, digital phenotyping, and AI toward biologically grounded ...

CAMBRIDGE, Cambridgeshire, UNITED KINGDOM, 10 March 2026 — A comprehensive invited review published today in Brain Medicine confronts one of the most persistent paradoxes in modern medicine: ...

AI has designed candidate drugs for antibiotic-resistant infections and genetic diseases. But efforts to incorporate AI into the design of lipid nanoparticles (LNPs), the revolutionary delivery ...

The arterial vasculature is the second most frequently calcified structure in the human body after the skeleton. Calcification of the aorta and aortic valves occurs in most individuals in westernized ...

Despite widespread industry recommendations, a new ETH Zurich paper concludes that AGENTS.md files may often hinder AI coding agents. The researchers recommend omitting LLM-generated context files ...

This is the largest real-world analysis of mycophenolic acid in pediatric lupus nephritis to date, providing a decision-support system to help balance efficacy and safety.

MedVersa, a generalist multimodal AI model trained on tens of millions of medical imaging instances to perform diverse radiology tasks within a single framework. The model matched or exceeded ...

By Rhett Ayers Butler Conservation has long wrestled with a deceptively simple question: not whether to act, but where action will matter most. Forest restoration, protected areas, wildlife corridors, ...

Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.

This research initiative highlights practical AI and business analytics for decision support across infrastructure, ...

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...