How Might Parkinson’s Progress in a Person? Machine Learning Project Seeks Clues

Click here to receive Parkinson’s news via e-mail A research team at The Australian National University (ANU) in Canberra are planning to collect information on subtleties like eye movement and posture sway in Parkinson’s patients, then use machine learning technology to spot indicators of how Parkinson’s disease (PD) might progress in individuals diagnosed with the neuromuscular disorder. Dr. Deborah Apthorp of the ANU Research School of Psychology was awarded AU$138,930 (about $105,000) to conduct a study that will track a range of early PD symptoms, in order to determine if any can be used as an indicator of PD progression. The award, given by Perpetual Impact Philanthropy Grant program, will fund the work over five years. “There are different types of Parkinson’s that can look similar at the point of onset,” Apthorp said in a press release. “But they progress very differently. We…


Link to Full Article: How Might Parkinson’s Progress in a Person? Machine Learning Project Seeks Clues