A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

After giving birth, new mothers typically return for a follow-up appointment six to eight weeks later. But if postpartum depression symptoms emerge, “that can be a really long time for someone who is ...

At the core of this report lies a simple fact: If we can’t see harm happening, we can’t prevent it. While healthcare has made remarkable progress in reducing infections, preventing falls and ...

Please provide your email address to receive an email when new articles are posted on . Familial hypercholesterolemia is underdiagnosed and undertreated. A novel machine learning algorithm identified ...

Parisa Khodabakhshi is an assistant professor of mechanical engineering and mechanics in Lehigh University’s P.C. Rossin College of Engineering and Applied Science. Prior to joining the Lehigh faculty ...

A new study offers insight into the health and lifestyle indicators - including diet, physical activity and weight - that align most closely with healthy brain function across the lifespan. The study ...

For almost as long as humans have existed, we have been trying to make sense of the cosmos. What started as philosophical musing has, following the advent of the telescope and the ability to look ever ...

Eric Chien, a fellow on the Threat Hunter Team at Broadcom, said government agencies looking to counter attackers should create networks that are secure by default and use tools that leverage ...

Artificial intelligence is inserting itself into our lives in various ways. New technology always has its pros and cons—but while the cons of using AI can be harrowing for individuals prone to ...

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a match is found with a donor who dies after cardiac arrest following the ...