Digital pen/machine learning based neurodegenerative disease diagnosis

MIT researchers have developed a digital assessment tool based on the Anoto Live Pen that they believe will improve the accuracy of Alzheimer’s and Parkinson’s Disease diagnosis.  A paper demonstrates a machine learning based predictive model that might detect neurodegenerative diseases earlier than current methods.

According to lead author William Souillard-Mandar,  the technology “allows us to extract thousands of features from the drawing process that give hints about the subject’s cognitive state, and our algorithms help determine which ones can make the most accurate prediction.”


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