Source link : https://health365.info/ai-and-biophysics-unite-to-forecast-high-risk-viral-variants-ahead-of-outbreaks/
Professor Eugene Shakhnovich (from left), Dianzhuo (John) Wang, and Vaibhav Mohanty labored in combination at the research. Credit score: Veasey Conway/Harvard Workforce Photographer
When the primary experiences of a brand new COVID-19 variant emerge, scientists international scramble to reply to a important query: Will this new pressure be extra contagious or extra serious than its predecessors? By the point solutions arrive, it is incessantly too overdue to tell instant public coverage choices or alter vaccine methods, costing public well being officers treasured time, effort, and assets.
In a couple of latest publications in Lawsuits of the Nationwide Academy of Sciences, a analysis group within the Division of Chemistry and Chemical Biology blended biophysics with synthetic intelligence to spot high-risk viral variants in document time—providing a transformative way for dealing with pandemics. Their objective: to get forward of a virulent disease through forecasting its evolutionary leaps ahead of it threatens public well being.
“As a society, we are often very unprepared for the emergence of new viruses and pandemics, so our lab has been working on ways to be more proactive,” stated senior writer Eugene Shakhnovich, Roy G. Gordon Professor of Chemistry. “We used fundamental principles of physics and chemistry to develop a multiscale model to predict the course of evolution of a particular variant and to predict which variants…
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Publish date : 2025-07-03 20:15:00
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