A new artificial intelligence model developed by researchers at the University of California, San Francisco, demonstrates significant potential in predicting the progression of Alzheimer’s disease. The model analyzes a combination of brain scans, genetic data, and cognitive test results to forecast how quickly a patient’s symptoms might worsen over time. This predictive capability could allow clinicians to identify high-risk individuals earlier and tailor more personalized treatment plans. The research, published in the journal Nature Medicine, highlights the growing role of machine learning in advancing precision medicine for neurodegenerative disorders. Read the full article at https://sciencedaily.com/releases/2024/10/240415120543.htm