A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

Posttransplant cyclophosphamide–containing prophylaxis correlated with lower aGVHD risk than tacrolimus/methotrexate, and ATG/alemtuzumab use contributed to risk estimation. Clinical utility includes ...

Statsmodels helps analyze data using Python, especially for statistics, regression, and forecasting.The best Statsmodels courses in 2026 fo ...

Older adults experience inconsistent outpatient COVID-19 antiviral prescribing despite high risk for severe outcomes and hospitalization.

Medicaid managed care organizations should prioritize children in low-opportunity neighborhoods to optimize health care utilization, improve minority health, and address health-related social needs.

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

This study investigated the outcomes of perioperative multidisciplinary nursing collaboration for patients who underwent laparoscopic radical prostatectomy.

Background Endovascular therapy (EVT) is standard treatment for large vessel occlusion in patients with a National Institutes ...

PyTorch is one of the most popular tools for building AI and deep learning models in 2026.The best PyTorch courses teach both basic concept ...