A new study tested six AI models developed by Meta, Google, Deepseek and Mistral AI and found that AI models can generate more complete summaries of complex cancer pathology reports than physicians.

Dupont has partnered with Uncountable, an AI-driven platform for end-to-end product and application development, to boost its AI-ready labs initiative. The partnership enhances how Dupont designs, tests, and optimizes complex formulations, helping accelerate the delivery of new solutions to customers.

Researchers at McMaster University have developed a new generative artificial intelligence (AI) model capable of drastically speeding up drug discovery — and, in early tests, it has already designed a brand-new antibiotic.

An AI-powered model could help communities detect E. coli contamination risks in waterways before lab results arrive. By using rainfall, streamflow, turbidity and other environmental data, the system may support earlier beach warnings, reduce public health risks and limit unnecessary closures.

A new verification protocol developed at Binghamton University could help reduce hallucinations in AI-generated biomedical information. By combining retrieval-augmented generation with majority voting among seven large language models, the workflow produced matched medical terminology without unmatched or fabricated terms in more than 10,000 experiments.

Relying on AI to complete work duties may not be diminishing our cognitive abilities, but it can undermine confidence in our own independent reasoning and perceived ownership of ideas, according to research published by the American Psychological Association. 

A new language model for genetics could help researchers trace evolutionary history in minutes instead of hours or days. The AI tool analyses DNA mutation patterns to estimate shared ancestry, offering a faster route to studying evolution, disease resistance and insecticide-resistant mosquitoes.

A new study shows that AI can be used to evaluate the build-up of calcium deposits in the breast arteries from X-ray mammography scans that are used in routine breast cancer screening.

Researchers have developed a metahydrogel platform integrated with AI-driven signal processing which enables clinical-grade tracking of heart signals and blood pressure during daily activities, paving the way for uninterrupted monitoring of mental-health states.

Researchers have developed an AI-based platform that can map disease-related changes across the entire mouse body at cellular resolution. Using Mouse Mapper, the team identified widespread inflammation and previously unknown obesity-related damage to facial sensory nerves, and it found corresponding molecular signatures in human tissue.