USC_Columbia
By Communications and Marketing
Jan 31, 2024
Smart Brevity® count: 3 mins ... 753 words
Analyzing large datasets of heart rhythms and brain wave activity with AI and machine learning, a team of University of South Carolina professors is making progress toward a better understanding of autism spectrum disorder and identification of diagnostic biomarkers.
Psychology professors Jessica Bradshaw and Caitlin Hudac are collaborating with Christian O’Reilly, a computer science and engineering faculty member, to search for potential patterns and markers of autism and more.
What they’re saying: “I think the punchline for where we’re going together in our collaboration is understanding how we can use all of the information we’re gathering and put it together — and that's where AI and machine learning are so important,” says Caitlin Hudac, steering director for the Carolina Autism and Neurodevelopment Research Center.
Read more about using artificial intelligence to help with autism diagnosis.
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