AI system to detect Parkinson's early from breathing patterns
In Syria Researchers at Massachusetts Institute of Technology have developed an artificial intelligence system that can diagnose Parkinson’s disease and its severity by examining a patient’s nightly breathing patterns. The system, developed by a team at MIT's Jameel Clinic headed by Syrian -born digital health expert Prof Dina Katabi, can detect Parkinson’s earlier than ever before. We mostly diagnose Parkinson’s today through the motor symptoms that it is known for, tremors, stiffness etc.,” she said. “The problem is that the onset of the disease is five to 10 years before these symptoms show, so by the time they manifest it’s too late to do any more than just manage the symptoms.” “Even if you have the best Parkinson’s expert in the world, you can’t just give them a breathing signal and ask whether this person has Parkinson’s or not,” she said. “They would not have an answer. The machine can see patterns that are very difficult for us humans to see, because they are