Scientists explore the utility of machine learning methods in the field of neurodegenerative disease diagnosis, prognosis, and treatment effect prediction.

Chronic kidney disease (CKD) constitutes a major global health challenge, affecting millions and often remaining undiagnosed until advanced stages. Recent advances in machine learning have ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.

Machine learning model, developed by researchers, has a relatively high prediction strength for clinical measures.

Chronic pain conditions, long-lasting medical conditions characterized by persistent pain in specific areas of the body, are often difficult to diagnose and treat. Understanding the biological markers ...

Many bacterial-linked illnesses, such as inflammatory bowel disease or colorectal cancer, are associated with an overgrowth of gut bacteria thought to be bad actors. But when researchers used a ...

Researchers examined how machine learning has been studied in rare diseases and identified areas of opportunity where future studies can improve care and treatment of rare diseases.

We developed statistical and machine learning models to predict premature death from the presence of 17 chronic conditions and the patients’ age at diagnosis. We evaluated models using accuracy, ...

Their work, published today in Nature Machine Intelligence, has shown that computer models can accurately classify four subtypes of Parkinson's disease, with one reaching an accuracy of 95%.