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“Sohn applied a machine learning algorithm to PET scans to help diagnose early-stage Alzheimer’s disease more reliably.”
“Once the algorithm was trained on 1,921 scans, the scientists tested it on two novel datasets to evaluate its performance.”
“It correctly identified 92 percent of patients who developed Alzheimer’s disease in the first test set and 98 percent in the second test set. What’s more, it made these correct predictions on average 75.8 months – a little more than six years –before the patient received their final diagnosis.”