Heart attack symptoms are sometimes similar to non-heart-related conditions, making diagnosis tricky. UK researchers have turned to machine learning to provide doctors with a fast and accurate way of ...

To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing. An ...

Researchers have used a machine learning model to identify three compounds that could combat aging. They say their approach could be an effective way of identifying new drugs, especially for complex ...

shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...

A machine learning algorithm called Viz Aneurysm analyzed imaging to identify unruptured brain aneurysms at least 4 millimeters in size. Of the 1,191 CT angiograms performed during the study period, ...

Acknowledging the pain points of the NOVA classification system, researchers have developed a machine learning algorithm to accurately predict the degree of processing for any food. The extent to ...

A combination of citizen science and machine learning is a promising new technique for astronomers looking for exoplanets. When you purchase through links on our site, we may earn an affiliate ...

In 2017, Roger Guimerà and Marta Sales-Pardo discovered a cause of cell division, the process driving the growth of living beings. But they couldn’t immediately reveal how they learned the answer. The ...

Have you ever tried to intentionally forget something you had already learned? You can imagine how difficult it would be. As it turns out, it's also difficult for machine learning (ML) models to ...