CT is one of the most widely used diagnostic imaging tools, but accurately estimating patient radiation dose remains ...

Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

Semaglutide use is linked to fewer hospitalizations and fewer days in the hospital for patients with cardiovascular disease ...

The issue: Many runners (particularly women) report that their fitness trackers tell them they’re exercising in a higher zone ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

Introduction Following a historic 2006 US Federal Court ruling, major cigarette manufacturers were mandated to display ...

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

AI-powered test automation is redefining software reliability by reducing flaky tests, expanding coverage, and accelerating ...

The group created a physical AI-based vehicle state estimation system designed to track how electric vehicles behave in real ...