An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new ...

Introduction Mobile health (mHealth) technologies have become increasingly popular for monitoring mental health symptoms and lifestyle behaviours, and are largely reported to be feasible and ...

Among patients with chronic noncancer pain, a novel machine learning model effectively predicts opioid use disorder risk.

Deep-learning model decodes the regulatory effects of DNA changes ...

Scientists have built an AI tool that predicts coral heat stress weeks early, giving reef managers time to act before bleaching starts.

Enterprises are keen to invest in network automation, SASE, and Wi-Fi 7, and they need networking pros with skills that span ...

The UNLV Runnin' Rebels have a must-win game tonight on the road against the Fresno State Bulldogs. UNLV has dropped three games in a row, and are now looking t ...

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 ...

AI is searching particle colliders for the unexpected ...

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 ...

Global AI In Predictive Toxicology Market size is expected to be worth around USD 4,964.3 Million by 2033 ...

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