{"id":6857,"date":"2021-08-23T02:55:28","date_gmt":"2021-08-23T02:55:28","guid":{"rendered":"https:\/\/entrepreneurs.utoronto.ca\/ip-education\/?post_type=spotlight&p=6857"},"modified":"2021-09-03T19:08:52","modified_gmt":"2021-09-03T19:08:52","slug":"this-is-the-place-to-predict-alzheimers","status":"publish","type":"spotlight","link":"https:\/\/entrepreneurs.utoronto.ca\/ip-education\/spotlight\/this-is-the-place-to-predict-alzheimers\/","title":{"rendered":"This is the place to predict Alzheimer\u2019s"},"content":{"rendered":"\n
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This is the place to predict Alzheimer\u2019s<\/h1>\n\n
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University of Toronto startup Winterlight Labs created a revolutionary platform that uses speech patterns to detect early signs of brain disorders.<\/h2>\n\n\n\n

Hidden clues in the way you speak can indicate health problems long before an official diagnosis is made. These include how fast you talk, how long you pause, which words you choose\u2014even tiny wobbles in the vibration of your voice, too subtle for the human ear.<\/p>\n\n\n\n

University of Toronto graduate student Katie Fraser discovered hundreds of speech and language markers for neurological health. She co-founded WinterLight Labs with colleagues at the Department of Computer Science: Liam Kaufman, Maria Yancheva and assistant professor Frank Rudzicz. With combined expertise in linguistics and machine learning, their team has built a tool right here in Toronto that uses artificial intelligence to monitor speech patterns of patients and look for signs of cognitive decline. It can pinpoint early signs of Alzheimer\u2019s disease and dementia with very high precision.<\/p>\n\n\n\n

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