Scientists at UC San Francisco have developed a machine learning model capable of predicting the onset of Alzheimer’s disease up to seven years before clinical symptoms manifest. By analyzing electronic health records, the team identified high cholesterol and osteoporosis, particularly in women, as significant predictors of Alzheimer’s. This research, published on February 21, 2024, in Nature Aging, underscores the potential of artificial intelligence (AI) to revolutionize early diagnosis and understanding of complex diseases like Alzheimer’s disease. “This is a first step towards using AI on …