Advancing Neurological Disease Prediction through Machine Learning Techniques

A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...

Machine Learning Is Enabling A New Era For Precision Medicine And Pharmacogenomics

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

Machine learning framework enables low-cost water toxin detection

Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...
Medical Xpress

Researchers develop machine-learning tool to detect cancer earlier via liquid biopsy

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 ...
Business Wire

CorVista Health Announces AHA Presentation of Machine Learning to Detect Pulmonary Hypertension at Point-of-Care

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 ...
Medical Xpress

Machine learning models fail to detect key health deteriorations, research shows

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 ...
News Medical

New screening tool uses infrared light and machine learning to detect multiple health conditions

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 ...

Would you trust an electronic nose? Researchers built one that can detect spoiled food

Scientists at UC Berkeley say the technology, which was trained to recognize gases released by food, could one day be built ...
Science Daily

Researchers use fitness tracker data and machine learning to detect bipolar disorder mood swings

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 ...
Business Wire

City of Hope, TGen Researchers Develop Machine-Learning Tool to Detect Cancer Earlier via Liquid Biopsy

The innovative “fragmentomics” approach could one day allow doctors to identify cancer in patients sooner than possible today using smaller blood draws LOS ANGELES--(BUSINESS WIRE)--Researchers at ...