To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.

A University of Idaho lab received $1.3 million from the Department of Defense to study early detection methods for ...

A multi-institutional research team has demonstrated how artificial intelligence and machine learning can optimize therapy selection and dosing for septic shock, a life-threatening complication that ...

The study shows that personalized medicine demands new competences that extend beyond traditional medical training.

Metabolite data and AI combine to redefine how we measure aging and predict health spans. Study: Metabolomic age (MileAge) predicts health and life span: A comparison of multiple machine learning ...