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

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

More than half of transplant recipients in a large analysis developed chronic graft-versus-host disease, and 15% died from causes other than cancer relapse. Those numbers capture the uneasy truth of ...

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

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

A number of agencies are enthusiastically working to develop tools that involve artificial intelligence and machine learning. The Department of Veterans Affairs, for instance, had the third-largest ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

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

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...