
Eye scans predict brain aging using AI
A new deep learning model bypasses expensive brain scans by reading signs of dementia and stroke directly from the back of the eye.
Discover the newest research about AI innovations in 🧠Neuroscience.

A new deep learning model bypasses expensive brain scans by reading signs of dementia and stroke directly from the back of the eye.
A new analysis of wearable data shows that tracking how we move during sleep can flag Parkinson’s risk a decade before clinical symptoms appear.

A new machine learning approach shows that while AI can easily spot the difference between Parkinson’s and its deadlier lookalikes, pinpointing the exact disease remains incredibly difficult.

A non-invasive ear clip could replace risky brain surgeries for patients recovering from aneurysms.

The regulatory approval of a non-invasive brain stimulation headset for PTSD exposes a massive, decades-long stagnation in psychiatric drug development.

A patient’s survival in the ICU may depend on how quickly clinicians can spot silent, ongoing seizures in the brain.

A new algorithm can spot hyperacute stroke tissue changes on cheap, standard CT scans, but it struggles to map the exact boundaries of smaller lesions.

A newly cleared neuromodulation system shifts PTSD treatment from trial-and-error pharmacology to personalized brain mapping.

Tiny, involuntary eye movements captured without head restraints can train algorithms to flag early Parkinson’s disease.

A new deep learning model turns cheap, blurry brain scans into high-contrast maps, helping doctors spot stroke damage faster and agree on treatment.