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 ...

Explore how machine learning enhances energy monitoring in smart homes with CEO Mike Phillips from Sense. This interview ...

An interdisciplinary team of researchers has developed a machine learning framework that uses limited water quality samples to predict which inorganic pollutants are likely to be present in a ...

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.

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 ...

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.

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 ...

Modern supply chain AI solutions do just that. By ingesting massive quantities of supplier data into machine learning models, ...

Across Africa, a new generation of policy oriented technologists is beginning to redefine the relationship between governance, economic development, clean energy transition, and Artificial ...

Overview MLOps extends DevOps to manage data, models, and retraining workflows that traditional software pipelines were never ...