A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

By Hugo Francisco de Souza A new study shows that gut microbiome signatures, analyzed through advanced machine learning, can help identify individuals with more severe insulin resistance, offering ...

When Hend Alqaderiwas studying how saliva could predict the risk of diabetes or the severity of a coronavirus infection, she collected a lot of saliva samples-thousands, measuring hundreds of bacteria ...

Leonard Zon, professor of stem cell and regenerative biology and Grousbeck Professor of Pediatrics at Harvard Medical School, has been awarded the 2026 March of Dimes Richard B. Johnston Jr., MD Prize ...

Studying gene expression in a cancer patient's cells can help clinical biologists understand the cancer's origin and predict the success of different treatments. But cells are complex and contain many ...

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...

Researchers from several partner institutions of the German Center for Diabetes Research (DZD) have collaborated with ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Novel study by researchers at the Rambam Health Care Campus could help 21 million people worldwide suffering from the severe lifelong mental disorder The post In breakthrough, Israeli scientists use ...

Approximately one in seven adults in the United States has kidney disease, where the organs responsible for filtering waste ...