Détail du document
Identifiant
oai:HAL:hal-03938411v2
Sujet
MSC 35B40, 35G92, 49J20, 92C50 [MATH]Mathematics [math] [MATH.MATH-AP]Mathematics [math]/A... [MATH.MATH-OC]Mathematics [math]/O... [SDV]Life Sciences [q-bio] [SDV.CAN]Life Sciences [q-bio]/Can...Auteur
Clairambault, JeanLangue
enEditeur
HAL CCSD
Catégorie
CNRS - Centre national de la recherche scientifique
Année
2023
Date de référencement
29/09/2023
Mots clés
cancer cell [mathRésumé
Soumis comme communication à ECC23, 13-16 juin 2023, Bucarest; Mathematical models of cancer growth and evolution of cancer cell characteristics, aka phenotypes, together with optimisation and optimal control methods to contain them, in the framework of adaptive dynamics of cell populations, are presented, that take into account the heterogeneity of cancer cell populations, i.e., their biological variability, and their intrinsic plasticity, i.e., their nongenetic instability that allows them to quickly adapt to changing environments.
The presented vision of the cancer disease, which is specific to multicellular organisms, relies on a relatively novel vision, consistent with a billionyear evolutionary perspective.
Based on recent contributions from philosophy of cancer, these mathematical models aim at designing theoretical therapeutic strategies to simultaneously contain tumour progression and limit adverse events of drugs to healthy cell populations.
Clairambault, Jean, 2023, Mathematical modelling of cancer growth and drug treatments: taking into account cell population heterogeneity and plasticity, HAL CCSD
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