Summary: A freshly designed synthetic intelligence model can detect Parkinson’s illness by reading a person’s breathing designs. The algorithm can also discern the severity of Parkinson’s ailment and track development about time.
Supply: MIT
Parkinson’s sickness is notoriously hard to diagnose as it depends largely on the look of motor signs or symptoms such as tremors, stiffness, and slowness, but these indications often look various yrs soon after the disease onset.
Now, Dina Katabi, the Thuan (1990) and Nicole Pham Professor in the Section of Electrical Engineering and Laptop or computer Science (EECS) at MIT and principal investigator at MIT