A multidisciplinary team led by MUSC Hollings Cancer Center researcher Sophie Paczesny, M.D., Ph.D., developed an AI-based tool that can identify patients at higher risk for serious post-transplant ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts. Sticking to an exercise ...

The team tested various machine learning algorithms to see which one best weighed the various factors to predict the speed of accurate responses in the flanker test. The researchers tested the ...

Researchers who had been using Fitbit data to help predict surgical outcomes have a new method to more accurately gauge how patients may recover from spine surgery. Using machine learning techniques ...

BIOPREVENT’ AI tool predicts transplant-related immune conflict and mortality risk using biomarkers, helping doctors ...

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

LOS ANGELES--(BUSINESS WIRE)--An international research team led by Etan Orgel, MD at Children’s Hospital Los Angeles (CHLA) has developed a novel machine learning model that can predict an individual ...

One of the deep truths that every endurance athlete has to discover somewhere along their journey is that tomorrow matters as much as today. Maybe you can pick up the pace or add a few more miles to ...

A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time—a development that could lead to the creation of ...