Researchers at City of Hope and Translational Genomics Research Institute (TGen) have developed and tested an innovative machine-learning approach that could one day enable the earlier detection of ...

On January 1, 2008, at 1:59 am in Calipatria, California, an earthquake happened. You haven’t heard of this earthquake; even if you had been living in Calipatria, you wouldn’t have felt anything. It ...

WASHINGTON--(BUSINESS WIRE)--CorVista Health, Inc., a leading digital health company dedicated to improving cardiovascular disease diagnosis, is pleased to announce the presentation of Machine ...

WhatsApp is testing an optional AI-powered Scam Alert that can identify suspicious messages on-device without sending private ...

It would be greatly beneficial to physicians trying to save lives in intensive care units if they could be alerted when a patient's condition rapidly deteriorates or shows vitals in highly abnormal ...

Using infrared light and machine learning, researchers have developed a method to effectively screen human health and its deviations at a population level. Envision a scenario where a single drop of ...

The factories that process our food and beverages (newsflash: no, it doesn’t come straight from a farm) have to be kept very clean, or we’d all get very ill, to be blunt. Ensuring that usually entails ...

Embedded computing and optimized machine learning models make PdM viable in small, distributed and cost-sensitive systems.

Investigators evaluated whether data collected from a fitness tracker could be used to accurately detect mood episodes in people with bipolar disorder. Study indicates that a fitness tracker can ...

New outdoor gunshot detection sensor developed using machine-learning techniques and combining acoustic and infrared sensing for advanced accuracy and earlier threat awareness SDS Perimeter combines ...