WPI researchers use machine learning and brain scans to identify age- and sex-specific anatomical patterns that predict ...

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 research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

Scientists develop a forecasting system that predicts high-risk windows and regions for solar superflares, using 50 years of X-ray data and machine learning techniques.

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

More than half of transplant recipients in a large analysis developed chronic graft-versus-host disease, and 15% died from causes other than cancer relapse. Those numbers capture the uneasy truth of ...

Explore how core mathematical concepts like linear algebra, probability, and optimization drive AI, revealing its ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Conflict forecasting, using AI and vast amounts of data, is evolving fast. The Middle East's authoritarian regimes could well be among the first in the world to use it to stop protests — before they ...