Scientists used an AI algorithm to analyze the blood and post-mortem brain samples of 1,969 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. This offers the first long-term view of molecular changes underlying neurodegeneration, an important accomplishment because neurodegenerative diseases develop over years.

Previous studies of neurodegeneration often used static or “snapshot” data, and are therefore limited in how much they can reveal about the typically slow progression of disease. This study aimed to uncover the chronological information contained in large-scale data by covering decades of disease progression, revealing how changes in gene expression over that time are related to changes in the patient’s condition.

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Medical Design Briefs Magazine

This article first appeared in the March, 2020 issue of Medical Design Briefs Magazine.

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