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.

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

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 ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

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

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, ...

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

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