A calibration and uncertainty quantification analysis of classical, fractional and multiscale logistic models of tumour growth

Author:

Dimitriou Nikolaos M.ORCID,Demirag Ece,Strati Katerina,Mitsis Georgios D.

Funder

Research and Innovation Foundation

McGill University

Natural Sciences and Engineering Research Council of Canada

Fonds de recherche du Québec – Nature et technologies

Stavros Niarchos Foundation

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference64 articles.

1. Quantifying the morphology and mechanisms of cancer progression in 3D in-vitro environments: integrating experiments and multiscale models;Dimitriou;IEEE Trans. Biomed. Eng.,2022

2. Selection, calibration, and validation of models of tumor growth;Lima;Math. Models Methods Appl. Sci.,2016

3. Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth;Lima;PLoS Comput. Biol.,2021

4. Hybrid models of tumor growth;Rejniak;Wiley Interdiscip. Rev., Syst. Biol. Med.,2011

5. Growth of confined cancer spheroids: a combined experimental and mathematical modelling approach;Loessner;Integr. Biol.,2013

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