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Digital Twin Generators for Disease Modeling
May 3, 2024, 4:53 a.m. | Nameyeh Alam, Jake Basilico, Daniele Bertolini, Satish Casie Chetty, Heather D'Angelo, Ryan Douglas, Charles K. Fisher, Franklin Fuller, Melissa Gomes
cs.LG updates on arXiv.org arxiv.org
Abstract: A patient's digital twin is a computational model that describes the evolution of their health over time. Digital twins have the potential to revolutionize medicine by enabling individual-level computer simulations of human health, which can be used to conduct more efficient clinical trials or to recommend personalized treatment options. Due to the overwhelming complexity of human biology, machine learning approaches that leverage large datasets of historical patients' longitudinal health records to generate patients' digital twins …
abstract arxiv clinical clinical trials computational computer cs.lg digital digital twin digital twins disease enabling evolution generators health human medicine modeling patient personalized simulations stat.ml treatment twin twins type
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