Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

Machine learning accurately predicts peak and average IOP, aiding glaucoma management by informing treatment decisions. Random forest regression (RFR) outperformed ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

Researchers at the University of Alabama at Birmingham now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - is one of the fundamental causes of diabetes. In addition to diabetes, it is ...