Revolutionary AI Predicts Alzheimer’s up to Seven Years Before Symptoms Appear

Scientists at UC San Francisco have developed a method using machine learning to predict the onset of Alzheimer’s Disease up to seven years prior to the emergence of symptoms, through the examination of patient records.

The conditions that most influenced the prediction of Alzheimer’s were high cholesterol and, for women, the bone-weakening disease osteoporosis.

The work demonstrates the promise of using artificial intelligence (AI) to spot patterns in clinical data that can then be used to scour large genetic databases to determine what is driving that risk. The researchers hope that one day it will hasten the diagnosis and treatment of Alzheimer’s and other complex diseases.