Scientists at UC San Francisco have developed a method using machine learning to predict the onset of Alzheimer’s Disease up to seven years before symptoms appear. By analyzing patient records, they identified high cholesterol and osteoporosis (in women) as key predictors. This breakthrough demonstrates the potential of AI in early disease prediction and understanding the biology behind disease risks.
