In the ongoing battle against cancer, a new AI approach is being explored that holds the potential to revolutionize the future of personalized cancer treatments.
The technology, which is an amalgamation of artificial intelligence, molecular dynamics simulations, and network analysis, aims to predict the binding sites on cancer-related proteins. This will pave the way for a faster development of treatments tailored for individual cancer patients.
The study was led by Dr. Rafael Bernardi, an associate professor of biophysics in the Department of Physics at Auburn University. As part of a collaborative effort with the University of Basel and ETH Zurich, the team is breaking barriers on how we understand and fight cancer.
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