Final random-forest-based models outperformed all publicly available risk scores on internal and external test sets.

In A Nutshell AI tools that track how the body’s molecular networks change over time may detect diseases like cancer, ...

A new study using an advanced “digital twin” artificial intelligence model has found that factors such as loneliness, insomnia and poor mental health substantially raise a person’s future risk of ...

Based on this, this study retrospectively analyzes the clinical testing data of patients with diabetic nephropathy and those with simple diabetes mellitus to investigate the predictive value of ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...

Pancreatic cancer rarely announces itself early. It often grows in deep tissue, causes vague symptoms, and reaches medical ...

hailand deploys wearables for home monitoring, builds national data platforms for seamless sharing, and teams up with partners ...

A machine learning model predicts low-density lipoprotein cholesterol from routine lab data, offering a low-cost way to ...

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 ...

Abstract: Diabetes mellitus is a chronic condition that continues to rise globally, with Type 2 diabetes being the most prevalent form. Early detection and prediction of diabetes risk are crucial to ...