"AI Predicts Early Alzheimer's Risk Factors and Patient Survival Across Dementia Types"
Researchers from the University of California San Francisco have used AI to identify several early risk factors to predict Alzheimer’s disease up to seven years before symptoms occur, including high blood pressure, high cholesterol, and vitamin D deficiency for both men and women, as well as gender-specific factors such as erectile dysfunction and an enlarged prostate for men, and osteoporosis for women. The findings, published in Nature Aging, aim to help identify at-risk individuals for early intervention and the development of preventive treatments, emphasizing the importance of modifiable risk factors such as cholesterol control and bone health in reducing Alzheimer's risk.