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IMAGE: Working in coal mines might make people more susceptible to serious complications from COVID-19. Larissa Casaburi, a researcher in the WVU School of Medicine, is using artificial intelligence to study…
Credit: West Virginia University
Artificial intelligence can do more than recommend a song or suggest what to write in an email. It might even be able to predict outcomes in COVID-19 patients.
Larissa Casaburi, a researcher in the West Virginia University School of Medicine, is using artificial intelligence to study how being a coal miner affects COVID-19 outcomes. She’s also investigating the ways smoking, vaping and having a chronic lung condition influence how COVID-19 patients fare.
“One of the features of machine learning is that it can develop personalized predictive models,” said Casaburi, an associate professor of radiology. “It’s precise medicine. It’s a novel approach to improve patients’ care, and there’s a lot of research interest in it.”
Using demographic and health data associated with COVID-19 patients in West Virginia, Casaburi and her colleagues will build a machine learning model that predicts the patients’ outcomes based on multiple variables. They will draw this data from the WVU COVID-19 registry.
“The artificial intelligence will make the analysis more …
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