T he National Science Foundation (NSF) has awarded a three-year, $800,000 grant to researchers to explore the application of predictive analytics, artificial intelligence, and precision medicine to Lyme disease. Mathematicians at the University of California, Los Angeles (UCLA) and Claremont McKenna College will collaborate with LymeDisease.org on the big-data project using information collected by the MyLymeData patient registry.
MyLymeData is a longitudinal study that tracks patients’ progress over time. It is an ongoing process where patients contribute their experiences so that trends can be defined.
More than 10,000 patients have enrolled in the project, resulting in more than a million data points related to the nature, duration, and severity of patient symptoms.
“That’s much more information than has ever been collected before about the experiences of Lyme disease patients,” said Lorraine Johnson, CEO of LymeDisease.org and principal investigator of MyLymeData. “Such a treasure trove of data can greatly improve our understanding of the illness….The more we know about it, the more likely we’ll be able to find a cure.” However, she notes, dealing with such vast amounts of data requires special mathematical techniques to effectively extract and analyze the information…..Join or login below to continue reading.
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