Scientists traced molecular patterns specific to neurodegenerative disorders. Artificial intelligence (AI) analysis of blood samples proved to be a viable method of predicting and explaining the progression and evolution of such diseases.

Researchers at the Montreal Neurological Institute, Canada, have found that testing blood using an artificial intelligence (AI) algorithm successfully predicted disease progression in neurodegenerative disorders, as well as identifying underlying molecular pathways that were predictive of disease evolution.

A team of Canadian researchers at the Montreal Neurological Institute and Hospital of McGill University and the Ludmer Centre for Neuroinformatics and Mental Health developed an AI-based algorithm which can predict the progression in Alzheimer’s and Huntington’s diseases (both are incurable and may evolve for many years showing no detectable symptoms).

The related report is available at McGill University website.

In order to develop the said AI algorithm, the scientists analyzed the blood and post-mortem brain samples of 1696 patients with Alzheimer’s and Huntington’s disease. In doing so, they were trying to better understand the progression of the said diseases during their bearers’ lifetime.

The resulting AI tool was able to identify genes and molecular pathways that were strong predictors of neurodegenerative disease evolution. Thus, the risk of looming disease may now be detected decades in advance.

“It is a promising tool for revealing complex neuropathological mechanisms, with direct implications for implementing personalized dynamic treatments in neurology,” – the research team concludes.

This new approach seems to be quite a promising one. The researchers now plan to test it in other neurodegenerative diseases, including Parkinson’s disease and amyotropic lateral sclerosis.

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