AI-analyzed blood test can predict the progression of neurodegenerative disease

Evaluating the effectiveness of therapies for neurodegenerative diseases is often difficult because each patient's progression is different. A new study shows artificial intelligence (AI) analysis of blood samples can predict and explain disease progression, which could one day help doctors choose more appropriate and effective treatments for patients. Scientists at The Neuro (Montreal Neurological Institute and Hospital) of McGill University and the Ludmer Centre for Neuroinformatics and Mental Health used an AI algorithm to analyze the blood and post-mortem brain samples of 1969 patients with Alzheimer's and Huntington's disease. Their goal was to find molecular patterns specific to these diseases. The algorithm was able to detect how these patients' genes expressed themselves in unique ways over decades.