Towards verifiable cancer digital twins: tissue level modeling protocol for precision medicine

Cancer exhibits substantial heterogeneity, manifesting as distinct morphological and molecular variations across tumors, which frequently undermines the efficacy of conventional oncological treatments. Developments in multiomics and sequencing technologies have paved the way for unraveling this hete...

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Główni autorzy:	Sharvari Kemkar, Mengdi Tao, Alokendra Ghosh, Georgios Stamatakos, Norbert Graf, Kunal Poorey, Uma Balakrishnan, Nathaniel Trask, Ravi Radhakrishnan
Format:	Artigo
Język:	Inglês
Wydane:	Frontiers Media S.A. 2024-10-01
Seria:	Frontiers in Physiology
Hasła przedmiotowe:	multiphysics models machine learing algorithms verification validation uncertainty quatification model interpretability and forecasting agent based models
Dostęp online:	https://www.frontiersin.org/articles/10.3389/fphys.2024.1473125/full
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