Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...

Rice University scientists have developed the first complete, label-free molecular atlas of the Alzheimer’s brain in an ...

Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining ...

A powerful new AI called Prima can read brain MRIs in seconds, diagnosing neurological conditions with up to 97.5% accuracy ...

Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to standard antidepressant medication. By analyzing electrical activity in the ...

An AI-powered model developed at the University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. The model detected neurological conditions with up to 97.5% ...

An AI-powered model developed at University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. It detected neurological conditions with up to 97.5% accuracy and ...

If you’ve ever started an antidepressant and spent weeks waiting to see if it helps, you know the hardest part is the guesswork.

This proteomics-driven approach to drug discovery improves target validation and uncovers insights into undruggable proteins, ...

The Island has recently published various articles on AI, and they are thought-provoking. This article is based on a paper I presented at a London University seminar, 22 years ago. Will computers ever ...

Lately, it feels like educators are stuck between a rock and a hard place. On one side, there’s the nagging worry that students will use AI to shortcut their way through an assignment; on the other, ...