Type 2 diabetes (T2D) and obesity are metabolic conditions with many causes, including overlapping and distinct genetic features.

Type 2 diabetes (T2D) and obesity are metabolic conditions with many causes, including overlapping and distinct genetic ...

Domain adaptation may be a novel creative solution to predict infection risk in patients with chronic lymphocytic leukemia ...

Please provide your email address to receive an email when new articles are posted on . “Performing medical and lifestyle interventions will be critical for mitigating disease symptoms and improving ...

Low-dose computed tomography (LDCT) screening is effective in reducing lung cancer mortality by detecting the disease at earlier, more treatable stages. However, high false-positive rates and the ...

A deep learning algorithm that only uses data from mammogram images along with age may predict major cardiac events as accurately as traditional cardiovascular risk calculators, new data suggest. The ...

New developments in artificial intelligence could use sleep data to predict disease risk, a new study suggests. Stanford Medicine researchers have developed an AI model trained on nearly 600,000 hours ...

A new study from Karolinska Institutet, published in the scientific journal The BMJ, shows how a simple blood analysis can predict the risk of developing severe liver disease. The method may already ...

Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The system analyzes detailed physiological signals, looking for hidden patterns ...

Delphi-2M, a new generative artificial intelligence (AI) model, estimates an individual’s risk for more than 1000 diseases up to 20 years in advance by analyzing electronic health records and ...