A machine learning model improves prediction of type 1 diabetes risk compared with a conventional genetic risk model, particularly in people without high-risk human leukocyte antigen haplotypes.

Cleveland Clinic and IBM researchers are using quantum computing to tackle one of the most challenging problems in ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...

Clinical outcomes of heart failure in breast cancer patients receiving HER2-directed therapy: A retrospective analysis (2016–2020).

Using artificial intelligence and machine learning, researchers from Florida Atlantic University's Christine E. Lynn College of Nursing and College of Engineering and Computer Science, in ...

Image courtesy by QUE.com For years, the conversation around artificial intelligence has been dominated by one paradigm: ...

Testing how quickly a biodegradable plastic actually breaks down in the environment can take months, sometimes years, of lab work. A new study from the Agricultural University of Athens, offers a ...

For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National Laboratory (LLNL) scientists are tackling that challenge in many ways, but ...