Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Ancestry employs AI and machine learning to expedite digitization of family records, boosting user tools and expanding ...

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 ...

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

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 ...

Acoustic analysis of routine patient-clinician conversations may accurately identify cognitive impairment. Read more.

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

Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.

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

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