Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning

arXiv:2403.00177v1 Announce Type: new
Abstract: A digital twin is a virtual replica of a real-world physical phenomena that uses mathematical modeling to characterize and simulate its defining features. By constructing digital twins for disease processes, we can perform in-silico simulations that mimic patients' health conditions and counterfactual outcomes under hypothetical interventions in a virtual setting. This eliminates the need for invasive procedures or uncertain treatment decisions. In this paper, we propose a method to identify digital twin model parameters using …

abstract arxiv counterfactual cs.lg digital digital twin digital twins disease features health health conditions medical modeling patients physics physics-informed processes q-bio.qm replica self-supervised learning simulations supervised learning twin twins type virtual world