Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

Chronic wounds remain a major health care challenge, especially for people with diabetes, who often experience delayed ...

Chronic wounds remain a major healthcare challenge, especially for people with diabetes, who often experience delayed healing ...

Chronic diabetic wounds heal slowly and are highly vulnerable to infection. Researchers have developed an AI-guided, 4D-printed microneedle patch that actively closes wounds, fights bacteria, and ...

AI-designed microneedles bend at body temperature to close diabetic wounds while delivering DNA therapy and antibacterial ...

A UK Biobank study of nearly 390,000 people mapped 251 NMR-derived plasma metabolic traits against hundreds of health traits, ...

A new study reveals how AI analyzes routine retinal eye photos to predict Alzheimer’s lifestyle and biological risk factors ...

As a child in Petrozavodsk, Russia, Dmitrii Kochkov loved solving geometry puzzles with his parents. In high school he participated in math and physics competitions. By the time he reached graduate ...

A proteomics- and machine learning (ML)-based precision prediction system enhances early risk stratification for diabetic retinal neurodegeneration (DRN), according to a study published online June 2 ...

A major clinical trial involving 50 hospital intensive care units (ICUs) throughout New Zealand and Australia will test if ...

Genetic prediction of type 1 diabetes is one of the most successful for complex traits. A machine learning approach now improves this further and discovers multiple non-linear locus–locus interactions ...

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...