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 ...
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 ...
Typical human aging brings about subtle changes in the body that can impair daily activities and quality of life. For many people, aging brings about tremors and the slowing of hand movement. Using ...
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 ...
From automating administrative tasks to clinical decision support, the use cases for artificial intelligence in healthcare continue to multiply. One unique approach is the use of natural language ...
PG&E's new monitoring center uses machine learning to detect and prevent wildfires, avoiding ignitions and outages.
Shooter Detection Systems (SDS), an Alarm.com (NASDAQ: ALRM) company and a leading provider of gunshot detection solutions, ...
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 ...
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