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AI-built ‘digital twin’ helps doctors precisely target glioma cancer
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AI-built ‘digital twin’ helps doctors precisely target glioma cancer
A team at the University of Michigan has built a new way to “read” a brain tumor’s appetite while it is still inside a patient. The approach uses machine learning to create a computer “digital twin” of a person’s glioma, then estimates how fast the tumor consumes and reshapes nutrients. The work aims to help doctors pick treatments that match the biology of an individual tumor, instead of guessing and hoping the cancer is vulnerable. Gliomas can…
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