Using artificial intelligence analysis of blood tests may predict progression of neurodegeneration - Mental Daily

Researchers at McGill University showed that analysis of blood samples using artificial intelligence (AI) could predict and provide a more comprehensive explanation for the progression of neurodegenerative diseases. The findings were published in the journal Brain. The results were gathered from analyzing the blood-brain samples of over 1,900 patients with the presence of late-onset Alzheimer's and Huntington's disease. Researchers used a novel gene expression contrastive trajectory inference (GE-cTI) method able to unveil enriched temporal patterns, while also predicting neuropathological severity among affected participants. Spanning decades, the machine learning algorithm identified how the patients' genes expressed themselves uniquely, a first study of which revealed how molecular changes underlies neurodegeneration.