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Improving the efficacy of anti-cancer nanoparticles with data-driven mathematical modeling

Cristina Vaghi 1, 2 Anne Rodallec 3 Raphaelle Fanciullino 3 Joseph Ciccolini 3 Clair Poignard 1, 2 Sébastien Benzekry 2, 1
1 MONC - Modélisation Mathématique pour l'Oncologie
IMB - Institut de Mathématiques de Bordeaux, Institut Bergonié [Bordeaux], Inria Bordeaux - Sud-Ouest
3 SMARTc - Simulation and Modeling of Adaptive Response for Therapeutics in Cancer
CRCM - Centre de Recherche en Cancérologie de Marseille
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https://hal.inria.fr/hal-01968959
Contributor : Sebastien Benzekry <>
Submitted on : Thursday, January 3, 2019 - 3:14:01 PM
Last modification on : Thursday, June 11, 2020 - 3:20:42 AM
Long-term archiving on: : Thursday, April 4, 2019 - 3:02:59 PM

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Cristina Vaghi, Anne Rodallec, Raphaelle Fanciullino, Joseph Ciccolini, Clair Poignard, et al.. Improving the efficacy of anti-cancer nanoparticles with data-driven mathematical modeling. Data Science Summer School, Jun 2018, Palaiseau, France. ⟨hal-01968959⟩

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