SALT LAKE CITY, UTAH – Researchers at the University of Utah's Department of Psychiatry and Huntsman Mental Health Institute today published a paper introducing RiskPath, an open source software ...

Artificial intelligence and machine learning are tools that have shown great promise in helping humans make deeper connections between disparate data. This is because AI and machine learning models ...

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

Significant advancements in understanding the molecular and cellular mechanisms of tumor progression have been made, yet challenges remain. Traditional imaging techniques like MRI, CT, and mammography ...

In a recent study published in The Lancet Healthy Longevity, researchers introduced a computational ExplaiNAble BioLogical Age (ENABL Age) estimation framework combining machine learning with ...

After training as a mathematician and physicist, Felix Wong, PhD, developed a keen interest in biology. He found the perfect fit in the lab of James J. Collins, PhD, at MIT, where he started using ...

From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...

A new synthesis of seismic research shows that artificial intelligence, when combined with physical principles, is rapidly ...