In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...

For decades, multiple sclerosis (MS) has been defined primarily by its symptoms, rather than its underlying biology. Now, a ...

The brainstem is the body’s signal crossroads, a compact hub where sensory information, motor commands, and vital autonomic functions all pass through the same narrow corridor. For decades, clinicians ...

BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).

A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...

Autism is linked to hundreds of different genes, yet many autistic people share similar features. Now, researchers at the University of California, Los Angeles (UCLA) and Stanford University report ...

This valuable study presents a technically sophisticated intravital two-photon calcium imaging approach to characterize Ca²⁺ dynamics in distinct populations of meningeal macrophages in awake, freely ...

Managing chronic disease often involves addressing one problem at a time: pain is managed, inflammation is suppressed, organ ...