Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.

Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.

Researchers at Georgia Tech say they have developed a system to help answer that question. Known as FIRA, the tool analyzes ...