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    Artificial Intelligence Model Can Detect Parkinson's from Breathing Patterns

    Parkinson's disease is notoriously difficult to diagnose because it relies primarily on the appearance of motor symptoms such as tremors, stiffness and slowness that often appear several years after the disease onset. An artificial intelligence (AI) model developed by a PhD student and postdoc at MIT promises to improve diagnoses by assessing whether or not someone has Parkinson's from their nocturnal breathing. Read this blog for an overview of the work and the important implications for Parkinson's drug development and clinical care.

    Artificial Intelligence Model Can Detect Parkinson's from Breathing Patterns published by Lemington Consulting

    Lemington Consulting is an international information technology (I.T.) consulting company specializing in I.T. managed services and I.T. consulting for dynamic businesses, non-profit, and government organizations. With over thirty-five years of professional experience in the all areas of information technology, Lemington brings a high level of expertise to your information technology assets. Our solutions help your organization to facilitate growth, compete more effectively, reduce costs, and work more efficiently. Regional offices in Atlanta, Dallas, Fairfax, Miami, Tampa, and Jacksonville.