We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, illustrating the potential and limitations of readily accessible and low-cost ...

The model has the potential to transform the ability to study telomere biology, learn more about human aging, and ultimately help people preserve better health as they age.

In the management of Crohn’s disease, a key objective — preserving the bowel by reducing the need for multiple resections — ...

A powerful new real-world data platform could transform how scientists predict and understand Alzheimer's disease and Alzheimer's disease-related dementias (AD/ADRD), reports a new study at Columbia ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

Genomics can help to identify people who are more likely to develop glaucoma potentially long before any symptoms of the disease appear. Instead ...

Researchers develop AI tool to predict patients at risk of intimate partner violence: Bethesda, Maryland Monday, March 16, 2026, 16:00 Hrs [IST] A team of researchers funded by th ...

Researchers at the University of California, San Francisco have found that machine-learning analysis of brain waves recorded during sleep can identify women at risk of cognitive decline up to five ...

GNQ Insilico Inc. ("GNQ" or the "Company"), a corporation formed under the federal laws of Canada, and IB Acquisition Corp. (Nasdaq: ...

Structural biology is shifting from predicting protein shapes to uncovering broader organizational rules; AI tools like AlphaFold have made large-scale protein structure data far ...

Machine learning algorithms may accurately predict inborn errors of immunity (IEI) in children with persistently low serum IgE.

Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people with depression are more likely to improve with digital cognitive behavioral ...