AI, when properly implemented, has the power to transform emergency medicine by enhancing patient outcomes, reducing ...

Despite various mitigation strategies, most existing methods rely on static adjustments that fail to account for individual ...

In a leap for urban ecology, researchers have unveiled a cutting-edge method to dynamically estimate seasonal tree heights in ...

The following is a summary of “A predictive model based on the gut microbiota improves the diagnostic effect in patients with ...

In a leap for urban ecology, researchers have unveiled a cutting-edge method to dynamically estimate seasonal tree heights in ...

Deutsche Telekom and the German provider of the Flux image generator are cooperating. Europe and Germany are not left behind.

A study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence ...

To develop a machine learning (ML) algorithm to predict survival probabilities for patients with epithelial ovarian cancer (EOC).Data were obtained from the SEER database for women diagnosed with EOC ...

Researchers at Rutgers University-New Brunswick have developed an AI tool that predicts endangered whale habitats, guiding ...

AI-driven models for predicting concrete compressive strength show promise, with machine learning techniques improving accuracy in SCM formulations.

Sociodemographic, health care, and clinical factors are associated with receipt of semaglutide in those with obesity but without diabetes.

Antimicrobial resistance is a growing health crisis that could lead to millions of deaths by 2050, according to the World ...