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

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

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, ...

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 ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

In response to this structural shift, Interview Kickstart has published a new article as part of its Career Transitions ...

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?

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

Researchers used AI and deep learning to find a link between brain structure and navigation skills but found no measurable ...