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 ...

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 ...

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.

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 ...

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 ...

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

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...

A new synthesis finds that common epilepsies are driven by thousands of tiny-effect genetic variants, most still ...

Immunis, Inc., a clinical-stage biotech company targeting age-related diseases, today announced it has entered an exclusive licensing agreement with Toray to develop and commercialize a drug candidate ...

Heterotopic ossification (HO) is a common post-surgery condition where bone abnormally forms within soft tissues. A new study out of Mass General Brigham assesses the viability of a simple blood test ...

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...

Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support ...