Mikael Benson is a professor of pediatrics, whose team aims to construct digital twins of individual patients for predictive, preventive and personalised medicine

Abstract

Digital twins are high-resolution models of individual patients. Each twin is computationally treated with thousands of drugs to find optimal drug or drugs for the patient: The twins are constructed by combining omics data down to the single cell level with routine clinical data.

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Digital Twins_Mikael Bensson flyers_220328.pdf

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