A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...

A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...

The UNLV Runnin' Rebels could knock off the Fresno State Bulldogs tonight, but it won't be easy.

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Using an aging clock, researchers from the University of Cologne have used the Caenorhabditis elegans model organism to demonstrate that nerve cells age differently. They identified both the causes of ...

Familiar Super Bowl foes meet when the Seattle Seahawks battle the New England Patriots in Super Bowl LX on Sunday. Kickoff ...

BostonGene, the developer of the leading AI foundation model for tumor and immune biology, today announced another major independent validation of its AI and machine learning (ML) capabilities in a ...

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...

IDI Consulting, a leading Pittsburgh-based IT consulting firm, launches IDI AI, its new, comprehensive enterprise suite of artificial intelligence tools and services, designed to help organizations ...

Clinical and health care resource use burden were greater among patients with diagnosed hypereosinophilic syndrome or predicted hypereosinophilic syndrome via machine learning vs. those without the ...

An agreement on the third implementation phase of Destination Earth (DestinE), the European Commission's initiative to ...