Man’s best friend may become cancer’s worst enemy.

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 ...

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 ...

Space Associates, Inc., a provider of advanced metrology and inspection solutions, announced new machine learning capabilities for its kSA Glass Breakage & Defect Detection tool. The enhancement adds ...

The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

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 ...

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 ...

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS). The findings suggest ALS ...

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 ...