Cardiovascular disease is the leading cause of death worldwide. Hypertension, as one of the predisposing factors of cardiovascular disease, is an important reason for the high incidence of ...

Researchers have used machine learning technologies to develop an algorithm that converts data from a small, lightweight, waterproof wearable sensor taped to the lower back into an accurate estimate ...

Blood pressure is a key metric of cardiovascular health, but standard methods for measuring it rely on occasional readings using inflatable cuffs, usually in a clinical setting. Today's blood pressure ...

Last week, Eko Devices announced a new service that matches ECG and heart sound recordings with clinical data to help pinpoint novel drug-data combinations. The Silicon Valley startup is pitching the ...

Combining drone data and machine learning can help cover more ground in monitoring forest soil health, University of Alberta ...

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.

Digital twins and AR are improving asset monitoring and field maintenance. Artificial intelligence (AI) and machine learning ...

If you liked this story, share it with other people. Scientists have combined passive acoustic monitoring, machine-learning tools and aerial surveys to estimate the population of North Atlantic right ...

CAMBRIDGE, Mass.--(BUSINESS WIRE)--INVIZA ® Health, a leader in advanced MedTech solutions, proudly announces the award of a $2.3 million contract by the SEMI Nano Bio Materials Consortium (NBMC) and ...

Using smartwatch and phone app data, machine‑learning models identified each participant’s primary lifestyle triggers of low mood, enabling coaches to create individualized mood improvement plans.