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

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

Princeton has firmly established its presence at the forefront of AI research — including transformative work in humanities scholarship.

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

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 ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

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

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...