Machine learning reveals behaviors linked with early Alzheimer’s, points to new treatments

Subtle signs of Alzheimer’s disease can emerge decades before a diagnosis—often in the form of irregular behaviors that reflect very early stages of brain dysfunction. But until now, identifying and measuring these slight behavioral changes in a scientific way hasn’t been feasible, not even when studying Alzheimer’s in mice.

This post was originally published on this site