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.

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 study finds SC use is concentrated among a small number of surgeons and hospitals. Authors say it should be saved for clear-cut cases because it can harm patients.

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

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

A new study published in the journal of Plos One showed that over the course of their lives, about one in three people with cystic fibrosis (CF) develop nephrolithiasis. The occurrence of ...

Understanding society requires not a choice between stories and statistics, but a careful integration of both.

Protein S deficiency represents a rare but significant hereditary thrombophilia that poses substantial risks during pregnancy ...

Billings Clinic investigators tracked trauma patients arriving directly from the scene versus patients transferred between ...

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 ...

Using social media for two hours a day does not seem like that much. It happens between classes, with a few scrolls on your ...