AI predicts Alzheimer's 7 years early with 72% accuracy

Researchers at UC San Francisco have developed an AI method that can predict Alzheimer’s Disease up to seven years before symptoms appear, with 72% accuracy. High cholesterol and osteoporosis, especially in women, were identified as significant predictors. By integrating clinical data with genetic databases, they identified genes linked to Alzheimer’s, offering new avenues for early diagnosis and precision medicine. The findings were published in Nature Aging on Feb. 21, 2024.