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Cited article:

Physiologically Structured Cell Population Dynamic Models with Applications to Combined Drug Delivery Optimisation in Oncology

J. Clairambault, O. Fercoq, G. Bocharov, J. Clairambault and V. Volpert
Mathematical Modelling of Natural Phenomena 11 (6) 45 (2016)
https://doi.org/10.1051/mmnp/201611604

Cell population heterogeneity and evolution towards drug resistance in cancer: Biological and mathematical assessment, theoretical treatment optimisation

Rebecca H. Chisholm, Tommaso Lorenzi and Jean Clairambault
Biochimica et Biophysica Acta (BBA) - General Subjects 1860 (11) 2627 (2016)
https://doi.org/10.1016/j.bbagen.2016.06.009

System Engineering Approach to Planning Anticancer Therapies

Andrzej Świerniak, Marek Kimmel, Jaroslaw Smieja, Krzysztof Puszynski and Krzysztof Psiuk-Maksymowicz
System Engineering Approach to Planning Anticancer Therapies 9 (2016)
https://doi.org/10.1007/978-3-319-28095-0_2

Synchronisation and control of proliferation in cycling cell population models with age structure

Frédérique Billy, Jean Clairambaultt, Olivier Fercoq, et al.
Mathematics and Computers in Simulation 96 66 (2014)
https://doi.org/10.1016/j.matcom.2012.03.005

Mathematical Methods and Models in Biomedicine

Frédérique Billy, Jean Clairambault and Olivier Fercoq
Lecture Notes on Mathematical Modelling in the Life Sciences, Mathematical Methods and Models in Biomedicine 265 (2013)
https://doi.org/10.1007/978-1-4614-4178-6_10

Designing proliferating cell population models with functional targets for control by anti-cancer drugs

Frédérique Billy and Jean Clairambault
Discrete & Continuous Dynamical Systems - B 18 (4) 865 (2013)
https://doi.org/10.3934/dcdsb.2013.18.865

Theoretical optimization of Irinotecan-based anticancer strategies in the case of drug-induced efflux

Annabelle Ballesta, Jean Clairambault, Sandrine Dulong and Francis Levi
Applied Mathematics Letters 24 (7) 1251 (2011)
https://doi.org/10.1016/j.aml.2011.02.017

A Combined Experimental and Mathematical Approach for Molecular-based Optimization of Irinotecan Circadian Delivery

Annabelle Ballesta, Sandrine Dulong, Chadi Abbara, et al.
PLoS Computational Biology 7 (9) e1002143 (2011)
https://doi.org/10.1371/journal.pcbi.1002143

Optimizing Cancer Pharmacotherapeutics Using Mathematical Modeling and a Systems Biology Approach

Jean Clairambault
Personalized Medicine 8 (3) 271 (2011)
https://doi.org/10.2217/pme.11.20

Modelling Physiological and Pharmacological Control on Cell Proliferation to Optimise Cancer Treatments

J. Clairambault
Mathematical Modelling of Natural Phenomena 4 (3) 12 (2009)
https://doi.org/10.1051/mmnp/20094302

A Step Toward Optimization of Cancer Therapeutics [Chronobiological Investigations]

Jean Clairambault
IEEE Engineering in Medicine and Biology Magazine 27 (1) 20 (2008)
https://doi.org/10.1109/MEMB.2007.907363

Implications of circadian clocks for the rhythmic delivery of cancer therapeutics

Francis Lévi, Atilla Altinok, Jean Clairambault and Albert Goldbeter
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 366 (1880) 3575 (2008)
https://doi.org/10.1098/rsta.2008.0114

A cell cycle automaton model for probing circadian patterns of anticancer drug delivery

Atilla Altinok, Francis Lévi and Albert Goldbeter
Advanced Drug Delivery Reviews 59 (9-10) 1036 (2007)
https://doi.org/10.1016/j.addr.2006.09.022

On the Role of Physics in the Growth and Pattern Formation of Multi-Cellular Systems: What can we Learn from Individual-Cell Based Models?

Dirk Drasdo, Stefan Hoehme and Michael Block
Journal of Statistical Physics 128 (1-2) (2007)
https://doi.org/10.1007/s10955-007-9289-x