SYSTEMS AND METHODS FOR DIAGNOSING NEURODEGENERATIVE DISEASES VIA MACHINE LEARNING AND BLOOD RNA

Abstract

A processor is configured to implement a machine learning model that is trained to select transcripts in blood for distinguishing neurodegenerative diseases. The algorithm is developed via machine learning and leverages concepts associated with blood-based changes in mRNA gene expression for differentiating patients of any neurodegenerative disease regardless of the proteins or their post-translational modifications occurring in disease.

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