A team at UCSF developed a multitask deep learning framework that can effectively predict Alzheimer’s disease diagnosis, cognitive scores, and future cognitive decline using only baseline MRI and ...

A new study found that biological aging patterns detected in retinal photographs were linked to lower bone density, higher ...

Meningiomas are the most common brain cancers arising from the protective soft tissue cover of the brain called the meninges.

Researchers at Rice University and The University of Texas MD Anderson Cancer Center have developed a compact, artificial intelligence-powered imaging device that could transform how clinicians detect ...

Predicting who will develop common diseases is key to prevention, detection, and early treatment. Traditionally, clinicians ...

A new nanoscopy technique developed at The Australian National University (ANU) has uncovered hidden networks used for communication between cells, opening new ways to understand human diseases.

A 3D network of living neurons and electronics can recognize electrical patterns and may help researchers study both brain ...

Neurocritical care is at the forefront of a technological revolution driven by artificial intelligence (AI), machine learning (ML), and digital ...