"AI Predicts Alzheimer's 7 Years in Advance by Analyzing Pollutant Connection"

A breakthrough AI model developed by researchers from the University of California, San Francisco and Stanford University can predict the onset of Alzheimer's disease up to seven years in advance by analyzing over 5 million health records. The AI system combines analyses of various risk factors, such as high blood pressure, high cholesterol, vitamin D deficiency, and depression, to calculate the likelihood of developing Alzheimer's. It also identified osteoporosis as a significant risk factor for women and found connections between Alzheimer's, osteoporosis, and a gene variant, providing new opportunities for studying the disease's development. This approach could pave the way for early intervention and a better understanding of Alzheimer's and potentially other hard-to-diagnose diseases.