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

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

Periodontitis is one of the most common chronic inflammatory diseases worldwide and a leading cause of tooth loss in adults.

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 ...

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

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 ...

The inaugural season of the Gomezgil Yaspik Data Science Laboratory marks the beginning of a new chapter for for Bowdoin.

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

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

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