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An AI model developed by Mayo Clinic researchers uses routine ECGs to detect advanced chronic liver disease earlier, doubling diagnoses before symptoms appear.

Common genetic variants can prevent antibody therapies from binding their targets, reducing treatment effectiveness. The study shows how small amino acid changes can block drug binding.

Researchers at the Italian Institute of Technology developed an AI-designed aptamer that disrupts DNA repair in pancreatic cancer cells. The molecule, Apt1, increases tumor sensitivity to chemotherapy drugs such as olaparib, even at lower doses.

Researchers developed an AI antibody model that accurately predicts heavy and light chain pairing, challenging long-held assumptions and advancing therapeutic design.

Mapping the human reproductive system offers new clues into conditions affecting reproductive organs and the environmental impacts of certain chemicals.

A new Swedish innovation uses machine learning and laser scanning to identify contaminated water in just 20 minutes, reducing health risks and improving water safety.

Researchers developed an AI solution to discover undiagnosed Alzheimer's disease, addressing disparities in healthcare access.

Researchers used AI to pinpoint a previously overlooked mpox surface protein that human antibodies strongly target. When engineered and tested in mice, this single protein generated protective, neutralizing antibodies.

New psychoactive substances, linked to adverse side effects, may still offer pharmaceutical promise with new research on receptor interactions that utilizes deep learning and large-scale computer simulations.

Discover how a new AI-based method can identify aspens and standing dead trees from aerial images, providing a map of forest biodiversity.