Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
This study applied three models—random forest (RF), gradient boosting regression (GBR), and linear regression (LR)—to predict county-level LC mortality rates across the United States. Model ...
A machine-learning model trained on fewer than 300 molecules has flagged diatomic pairs with record-high electric dipole moments, several of them in combinations that chemists had not seriously ...
Using six gut- and diet-derived metabolites, a machine learning model had 79% accuracy in classifying adults as having ...
The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, ...
MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the ...
When US Airways Flight 1549 lost all power after hitting a flock of geese in 2009, Captain Chesley “Sully” Sullenberger’s background as a glider pilot helped him manage the aircraft and see landing ...