Sebastien Benzekry

104

Documents

Publications

	Mechanistic modeling of metastatic relapse in early breast cancer to investigate the biological impact of prognostic biomarkers Célestin Bigarré , François Bertucci , Pascal Finetti , Gaëtan Macgrogan , Xavier Muracciole Computer Methods and Programs in Biomedicine, 2023, 231, pp.107401. ⟨10.1016/j.cmpb.2023.107401⟩ Article dans une revue hal-04008520v1
	Practical identifiability analysis of a mechanistic model for the time to distant metastatic relapse and its application to renal cell carcinoma Arturo Álvarez-Arenas , Wilfried Souleyreau , Andrea Emanuelli , Lindsay S Cooley , Jean-Christophe Bernhard PLoS Computational Biology, 2022, 18, ⟨10.1371/journal.pcbi.1010444⟩ Article dans une revue hal-03921339v1
	Asymptotic analysis of a biphase tumor fluid flow: the weak coupling case. Cristina Vaghi , Sébastien Benzekry , Clair Poignard Applied Mathematics and Computation, 2022, 413, pp.126635. ⟨10.1016/j.amc.2021.126635⟩ Article dans une revue hal-03354766v2
	Des modèles mathématiques pour la recherche clinique en cancérologie Sébastien Benzekry Interstices, 2022 Article dans une revue hal-03746564v1
	Macro-scale models for fluid flow in tumour tissues: impact of microstructure properties Cristina Vaghi , Raphaëlle Fanciullino , Sébastien Benzekry , Clair Poignard Journal of Mathematical Biology, 2022, 84, pp.27. ⟨10.1007/s00285-022-01719-1⟩ Article dans une revue hal-02891573v1
	Tumor growth monitoring in breast cancer xenografts: A good technique for a strong ethic Anne Rodallec , Cristina Vaghi , Joseph Ciccolini , Raphaëlle Fanciullino , Sebastien Benzekry PLoS ONE, 2022, 17 (9), pp.e0274886. ⟨10.1371/journal.pone.0274886⟩ Article dans une revue hal-03924541v1
	Machine Learning for Prediction of Immunotherapy Efficacy in Non-Small Cell Lung Cancer from Simple Clinical and Biological Data Sébastien Benzekry , Mathieu Grangeon , Mélanie Karlsen , Maria Alexa , Isabella Bicalho-Frazeto Cancers, 2021, 13 (24), pp.6210. ⟨10.3390/cancers13246210⟩ Article dans une revue hal-03478003v2
	Experimental and computational modeling for signature and biomarker discovery of renal cell carcinoma progression Lindsay Cooley , Justine Rudewicz , Wilfried Souleyreau , Andrea Emanuelli , Arturo Alvarez-Arenas Molecular Cancer, 2021, 20 (1), ⟨10.1186/s12943-021-01416-5⟩ Article dans une revue hal-03390517v1
	Development and Validation of a Prediction Model of Overall Survival in High-Risk Neuroblastoma Using Mechanistic Modeling of Metastasis Sébastien Benzekry , Coline Sentis , Carole Coze , Laëtitia Tessonnier , Nicolas André JCO Clinical Cancer Informatics, 2021, 5, pp.81-90. ⟨10.1200/CCI.20.00092⟩ Article dans une revue hal-03147049v1
	Artificial Intelligence and Mechanistic Modeling for Clinical Decision Making in Oncology Sébastien Benzekry Clinical Pharmacology and Therapeutics, 2020, ⟨10.1002/cpt.1951⟩ Article dans une revue hal-02916941v1
	Population modeling of tumor growth curves and the reduced Gompertz model improve prediction of the age of experimental tumors Cristina Vaghi , Anne Rodallec , Raphaëlle Fanciullino , Joseph Ciccolini , Jonathan P Mochel PLoS Computational Biology, 2020, 16 (2), pp.e1007178. ⟨10.1371/journal.pcbi.1007178⟩ Article dans une revue inserm-02515955v1
	Machine Learning and Mechanistic Modeling for Prediction of Metastatic Relapse in Early-Stage Breast Cancer Chiara Nicolò , Cynthia Périer , Mélanie Prague , Carine Bellera , Gaëtan Macgrogan JCO Clinical Cancer Informatics, 2020, 4, pp.259-274. ⟨10.1200/CCI.19.00133⟩ Article dans une revue hal-02942177v1
	Mechanistic Learning for Combinatorial Strategies With Immuno-oncology Drugs: Can Model-Informed Designs Help Investigators? Joseph Ciccolini , Dominique Barbolosi , Nicolas André , Fabrice Barlesi , Sébastien Benzekry JCO precision oncology, 2020, 108 (4), pp.486-491. ⟨10.1200/PO.19.00381⟩ Article dans une revue hal-03147084v1
	Prédiction de l'efficacité de l'immunothérapie dans le cancer bronchique à partir de données cliniques et biologiques simples : apport de l'intelligence artificielle Mathieu Grangeon , Sebastien Benzekry , Solène Chaleat , Pascale Tomasini , Dominique Barbolosi Revue des Maladies Respiratoires Actualites, 2020, 12 (1), pp.217. ⟨10.1016/j.rmra.2019.11.477⟩ Article dans une revue hal-03147118v1
	Deciphering the response and resistance to immunecheckpoint inhibitors in lung cancer with artificial intelligence-based analysis: the pioneer and quantic joint-projects Joseph Ciccolini , Sébastien Benzekry , Fabrice Barlesi British Journal of Cancer, 2020, 123 (3), pp.337-338. ⟨10.1038/s41416-020-0918-3⟩ Article dans une revue hal-03147110v1
	Combinatorial immunotherapy strategies : most gods throw dice, but fate plays chess Joseph Ciccolini , Dominique Barbolosi , Nicolas Andre , Sébastien Benzekry , Fabrice Barlesi Annals of Oncology, 2019, ⟨10.1093/annonc/mdz297⟩ Article dans une revue hal-02383826v1
	Quantitative mathematical modeling of clinical brain metastasis dynamics in non-small cell lung cancer Maria Bilous , Cindy Serdjebi , Arnaud Boyer , Claudia Pouypoudat , Pascale Tomasini Scientific Reports, 2019, 9 (1), ⟨10.1038/s41598-019-49407-3⟩ Article dans une revue hal-01928442v2
	Optimal Scheduling of Bevacizumab and Pemetrexed/cisplatin Dosing in Non‐Small Cell Lung Cancer Benjamin K Schneider , Arnaud Boyer , Joseph Ciccolini , Fabrice Barlesi , Kenneth Wang CPT: Pharmacometrics and Systems Pharmacology, 2019, ⟨10.1002/psp4.12415⟩ Article dans une revue hal-02109335v1
	Combinatorial immunotherapy strategies: most gods throw dice, but fate Joseph Ciccolini , Dominique Barbolosi , Nicolas André , Sebastien Benzekry , Fabrice Barlesi Annals of Oncology, 2019, 30 (11), pp.1690-1691. ⟨10.1093/annonc/mdz297/5559268⟩ Article dans une revue hal-03147132v1
	CAR T-Cell Immunotherapy in Human and Veterinary Oncology: Changing the Odds Against Hematological Malignancies Jonathan Paul M. Mochel , Stephen C Ekker , Chad Johannes , Albert E Jergens , Karin Allenspach AAPS Journal, 2019, 21 (3), ⟨10.1208/s12248-019-0322-1⟩ Article dans une revue hal-02099159v1
	Is There Any Room for Pharmacometrics With Immuno-Oncology Drugs? Input from the EORTC-PAMM Course on Preclinical and Early-phase Clinical Pharmacology Anne Rodallec , Raphaelle Fanciullino , Sébastien Benzekry , Joseph Ciccolini Anticancer Research, 2019, 39 (7), pp.3419-3422. ⟨10.21873/anticanres.13486⟩ Article dans une revue hal-02383831v1
	Revisiting bevacizumab + cytotoxics scheduling using mathematical modeling: proof of concept study in experimental non-small cell lung carcinoma Diane-Charlotte Imbs , Raouf El Cheikh , Arnaud Boyer , Joseph Ciccolini , Celine Mascaux CPT: Pharmacometrics and Systems Pharmacology, 2018, pp.1-9. ⟨10.1002/psp4.12265⟩ Article dans une revue hal-01624423v2
	Pharmacokinetics variability: why nanoparticles are not magic bullets in oncology Anne Rodallec , Sébastien Benzekry , Bruno Lacarelle , Joseph Ciccolini , Raphaelle Fanciullino Critical Reviews in Oncology/Hematology, 2018, 129, pp.1 - 12. ⟨10.1016/j.critrevonc.2018.06.008⟩ Article dans une revue hal-01821678v1
	Turning cold tumors into hot tumors: harnessing the potential of tumor immunity using nanoparticles Anne Rodallec , Guillaume Sicard , Raphaelle Fanciullino , Sébastien Benzekry , Bruno Lacarelle Expert Opinion on Drug Metabolism and Toxicology, 2018, 14 (11), pp.1-9. ⟨10.1080/17425255.2018.1540588⟩ Article dans une revue hal-01958583v1
	Model-driven optimization of antiangiogenics + cytotoxics combination: application to breast cancer mice treated with bevacizumab + paclitaxel doublet leads to reduced tumor growth and fewer metastasis Severine Mollard , Joseph Ciccolini , Diane-Charlotte Imbs , Raouf El Cheikh , Dominique Barbolosi Oncotarget, 2017, ⟨10.18632/oncotarget.15484⟩ Article dans une revue hal-01474679v1
	Mathematical modeling of tumor-tumor distant interactions supports a systemic control of tumor growth Sébastien Benzekry , Clare Lamont , Dominique Barbolosi , Lynn Hlatky , Philip Hahnfeldt Cancer Research, 2017, ⟨10.1158/0008-5472.CAN-17-0564⟩ Article dans une revue hal-01566947v1
	Non-standard radiotherapy fractionations delay the time to malignant transformation of low-grade gliomas Araceli M Henares-Molina , Sébastien Benzekry , Pedro C Lara , Marcial M García-Rojo , Víctor M Pérez-García PLoS ONE, 2017, ⟨10.1371/journal.pone.0178552.t001⟩ Article dans une revue hal-01532505v1
	Dose- and time-dependence of the host-mediated response to paclitaxel therapy: a mathematical modeling approach Madeleine Benguigui , Dror Alishekevitz , Michael Timaner , Dvir Shechter , Ziv Raviv Oncotarget, 2017, 9 (2), pp.2574-2590. ⟨10.18632/oncotarget.23514⟩ Article dans une revue hal-01672568v1
	Etude de l'effet séquence bevacizumab/pemetrexed/cisplatine chez la souris porteuse de cancer du poumon non à petites cellules Arnaud Boyer , Joseph Ciccolini , Céline Mascaux , Diane-Charlotte Imbs , Raouf El Cheikh Revue des Maladies Respiratoires, 2017, 34, ⟨10.1016/j.rmr.2016.10.110⟩ Article dans une revue hal-01540322v1
	Next generation metronomic chemotherapy - report from the Fifth Biennial International Metronomic and Anti-angiogenic Therapy Meeting, 6 - 8 May 2016, Mumbai Pan G Pantziarka , Lisa Hutchinson , Nicolas G André , Sébastien Benzekry , Francesco Bertolini Ecancermedicalscience, 2016, 10, ⟨10.3332/ecancer.2016.689⟩ Article dans une revue hal-01392473v1
	Modeling Spontaneous Metastasis following Surgery: An In Vivo-In Silico Approach Sébastien Benzekry , Amanda Tracz , Michalis Mastri , R. Corbelli , Dominique Barbolosi Cancer Research, 2016, 76 (3), pp.535 - 547. ⟨10.1158/0008-5472.CAN-15-1389⟩ Article dans une revue hal-01222046v2
	In Vivo Bioluminescence Tomography for Monitoring Breast Tumor Growth and Metastatic Spreading: Comparative Study and Mathematical Modeling Séverine Mollard , Raphaelle Fanciullino , Sarah Giacometti , Cindy Serdjebi , Sebastien Benzekry Scientific Reports, 2016, 6, pp.10. ⟨10.1038/srep36173⟩ Article dans une revue hal-01392861v1
	Mathematical modeling of cancer immunotherapy and its synergy with radiotherapy R. Serre , Sébastien Benzekry , Laetitia Padovani , C. Meille , N. Andre Cancer Research, 2016, ⟨10.1158/0008-5472.CAN-15-3567⟩ Article dans une revue hal-01336779v1
	Les lois de la croissance tumorale Sébastien Benzekry Bibliothèque Tangente, 2016 Article dans une revue hal-01418295v1
	Improving efficacy of the combination between antiangiogenic and chemotherapy: Time for mathematical modeling support Joseph Ciccolini , Sébastien Benzekry , Bruno Lacarelle , Dominique Barbolosi , Fabrice Barlesi Proceedings of the National Academy of Sciences of the United States of America, 2015, pp.1. ⟨10.1073/pnas.1506689112⟩ Article dans une revue hal-01168635v1
	Metronomic Reloaded: Theoretical Models Bringing Chemotherapy into the Era of Precision Medicine Sébastien Benzekry , Eddy Pasquier , Dominique Barbolosi , Bruno Lacarelle , Fabrice Barlési Seminars in Cancer Biology, 2015, pp.23. ⟨10.1016/j.semcancer.2015.09.002⟩ Article dans une revue hal-01195547v1
	Computational Modelling of Metastasis Development in Renal Cell Carcinoma Etienne Baratchart , Sébastien Benzekry , Andreas Bikfalvi , Thierry Colin , Lindsay S. Cooley PLoS Computational Biology, 2015, 11 (11), ⟨10.1371/journal.pcbi.1004626⟩ Article dans une revue hal-01164834v2
	Capturing the Driving Role of Tumor-Host Crosstalk in a Dynamical Model of Tumor Growth Sebastien Benzekry , Afshin Beheshti , Philip Hahnfeldt , Lynn Hlatky Bio-protocol , 2015, 5 (21) Article dans une revue hal-01222068v1
	Design principles for cancer therapy guided by changes in complexity of protein-protein interaction networks Sebastien Benzekry , Jack A Tuszynski , Edward A Rietman , Giannoula Lakka Klement Biology Direct, 2015, pp.14. ⟨10.1186/s13062-015-0058-5⟩ Article dans une revue hal-01158313v1
	Host Age Is a Systemic Regulator of Gene Expression Impacting Cancer Progression Afshin Beheshti , Sebastien Benzekry , J. Tyson Mcdonald , Lili Ma , Michael Peluso Cancer Research, 2015, 75 (6), pp.10. ⟨10.1158/0008-5472.CAN-14-1053⟩ Article dans une revue hal-01132048v1
	Classical Mathematical Models for Description and Forecast of Experimental Tumor Growth Sébastien Benzekry , Clare Lamont , Afshin Beheshti , Amanda Tracz , John M.L. Ebos PLoS Computational Biology, 2014, 10 (8), pp.e1003800. ⟨10.1371/journal.pcbi.1003800⟩ Article dans une revue hal-00922553v6
	Global Dormancy of Metastases due to Systemic Inhibition of Angiogenesis Sébastien Benzekry , Alberto Gandolfi , Philip Hahnfeldt PLoS ONE, 2014, 9 (1), pp.e84249. ⟨10.1371/journal.pone.0084249⟩ Article dans une revue hal-00868592v3
	Maximum tolerated dose versus metronomic scheduling in the treatment of metastatic cancers. Sebastien Benzekry , Philip Hahnfeldt Journal of Theoretical Biology, 2013, 335, pp.235-44. ⟨10.1016/j.jtbi.2013.06.036⟩ Article dans une revue hal-00836032v1
	Theoretical investigation of the efficacy of antiangiogenic drugs combined to chemotherapy in xenografted mice. Floriane Lignet , Sébastien Benzekry , Shelby Wilson , Frédérique Billy , Olivier Saut Journal of Theoretical Biology, 2013, 320, pp.86-99. ⟨10.1016/j.jtbi.2012.12.013⟩ Article dans une revue hal-00785876v1
	Modeling the impact of anticancer agents on metastatic spreading Sébastien Benzekry , Nicolas André , Assia Benabdallah , Joseph Ciccolini , Christian Faivre Mathematical Model Natural Phenomenon, 2012, 7 (1), pp 306--336. ⟨10.1051/mmnp/20127114⟩ Article dans une revue hal-00657724v1
	A new mathematical model for optimizing the combination between antiangiogenic and cytotoxic drugs in oncology Sébastien Benzekry , Guillemette Chapuisat , Joseph Ciccolini , Alice Erlinger , Florence Hubert Comptes rendus de l'Académie des sciences. Série I, Mathématique, 2012, 350, pp.23-28. ⟨10.1016/j.crma.2011.11.019⟩ Article dans une revue hal-00641476v2
	Mathematical and numerical analysis of a model for anti-angiogenic therapy in metastatic cancers Sebastien Benzekry ESAIM: Mathematical Modelling and Numerical Analysis, 2012, 46 (2), pp.207-237 Article dans une revue hal-00518110v1
	Mathematical analysis of a two-dimensional population model of metastatic growth including angiogenesis Sebastien Benzekry Journal of Evolution Equations, 2011, 11 (1), pp.187-213 Article dans une revue hal-00516693v1
	Passing to the limit 2D-1D in a model for metastatic growth Sebastien Benzekry Journal of Biological Dynamics, 2011, pp.10.1080/17513758.2011.568071. ⟨10.1080/17513758.2011.568071⟩ Article dans une revue hal-00521968v1

	Artificial intelligence in healthcare data warehouses Sébastien Benzekry Annual congress of the French group of clinical pneumo-oncology (GPCO), Jun 2023, Toulon, France Communication dans un congrès hal-04388413v1
	Une comparaison des algorithmes d'apprentissage pour la survie avec données manquantes Paul Dufossé , Sébastien Benzekry JDS 2023 - 54e Journées de Statistique de la SFds, SFdS, Jul 2023, Bruxelles (BEL), Belgique. ⟨10.48550/arXiv.2303.13590⟩ Communication dans un congrès hal-04384220v1
	Using statistical learning for clinical trials Sébastien Benzekry Annual meeting of the APHM center for early phase clinical trials in oncology, Jun 2023, Marseille, France Communication dans un congrès hal-04388605v1
	Mechanistic modeling of the longitudinal tumor and biological markers combined with quantitative cell-free DNA Linh Nguyen Phuong , Laurent Greillier , Caroline Gaudy , Jean-Laurent Deville , Jean-Charles Garcia 2023 SMB annual meeting - Annual Meeting of the Society for Mathematical Biology, Society for Mathematical Biology, Jul 2023, Columbus (Ohio), United States Communication dans un congrès hal-04388020v1
	Integrative kinetics and machine learning modeling for prediction of outcome following immunotherapy in lung cancer Sébastien Benzekry Workshop for young researchers in Cancer 2023, Cancéropôle PACA, Oct 2023, Porquerolles, France Communication dans un congrès hal-04388572v1
	Integrative kinetics and machine learning modeling for prediction of outcome following immunotherapy in lung cancer Sébastien Benzekry Annual congress of the French society of pharmacology and therapeutics (SFPT), Jun 2023, Limoges, France Communication dans un congrès hal-04388499v1
	Integrative kinetics and machine learning modeling for prediction of outcome following immunotherapy in lung cancer Sébastien Benzekry CARe graduate school workshop, Jan 2023, Toulouse (FRANCE), France Communication dans un congrès hal-04388750v1
	Integrative kinetics and machine learning modeling for prediction of outcome following immunotherapy in lung cancer Sébastien Benzekry SMAI 2023 congress - 11th French Biennial of Applied and Industrial Mathematics, May 2023, Le Gosier (Guadeloupe), France Communication dans un congrès hal-04388478v1
	Supporting decision making and early prediction of survival for oncology drug development using a pharmacometrics-machine learning based model Sébastien Benzekry , Mélanie Karlsen , Abdessamad Elkaoutari , René Bruno , Aleš Neubert PAGE - Population Approach Group Europe, Jun 2022, Ljubljana, Slovenia Communication dans un congrès hal-03921394v1
	Machine learning for prediction of immunotherapy efficacy in nonsmall cell lung cancer from simple clinical and biological data Sébastien Benzekry , Mathieu Grangeon , Mélanie Karlsen , Pauline Fleury , Maria Alexa WCoP 2022 - World Conference on Pharmacometrics, Mar 2022, Cape Town, South Africa Communication dans un congrès hal-03935743v1
	3MO - Comprehensive biomarkers (BMs) analysis to predict efficacy of PD1/L1 immune checkpoint inhibitors (ICIs) in combination with chemotherapy: a subgroup analysis of the Precision Immuno-Oncology for advanced Non-Small CEll Lung CancER (PIONeeR) trial Fabrice Barlesi , Laurent Greillier , Florence Monville , C Audigier-Valette , S. Martinez 2022 ESMO Immuno-Oncology Congress, Dec 2022, Geneva, Switzerland Communication dans un congrès hal-03928784v1
	A mechanistic model for prediction of metastatic relapse in early-stage breast cancer using routine clinical features Célestin Bigarré , Pascal Finetti , François Bertucci , Xavier Muracciole , Sébastien Benzekry AACR, Apr 2022, New Orléans, United States. pp.2737, ⟨10.1158/1538-7445.AM2022-2737⟩ Communication dans un congrès hal-03752407v1
	Comprehensive biomarkers analysis to explain resistances to PD1-L1 ICIs: The precision immuno-oncology for advanced non-small cell lung cancer (PIONeeR) trial Laurent Greillier , Florence Monville , Vanina Leca , Frédéric Vely , Stephane Garcia 2022 AACR annual meeting, AACR, Apr 2022, New Orleans, United States. pp.LB120, ⟨10.1158/1538-7445.AM2022-LB120⟩ Communication dans un congrès hal-03926538v1
	Pharmacometrics modeling coupled with machine learning for early prediction of survival following atezolizumab monotherapy in non-small cell lung cancer Sébastien Benzekry , Mélanie Karlsen , Abdessamad Elkaoutari , Suresh Vatakuti , Petter Curle World Conference on Pharmacometrics, Mar 2022, Cape Town, South Africa Communication dans un congrès hal-03935768v1
	Machine learning versus mechanistic modeling for prediction of metastatic relapse in breast cancer Sebastien Benzekry 2019 CSBC-PSON Mathematical Oncology Meeting, May 2019, Portland, United States Communication dans un congrès hal-02424419v1
	Data-driven mechanistic modeling of metastasis: cancer at the organism scale Sébastien Benzekry RITS conference (Recherche en Imagerie et Technologies pour la Sante) of the French Society of Biomedical Engineering (SFGBM), May 2019, Tours, France Communication dans un congrès hal-02424452v2
	Mechanistic modeling of metastasis: cancer at the organism scale Sébastien Benzekry International Society of Pharmacometrics (ISoP) workshop, Jul 2019, Paris, France Communication dans un congrès hal-02424424v1
	Mathematical Modeling of Tumor-Tumor Distant Interactions Supports a Systemic Control of Tumor Growth Sébastien Benzekry 3rd Mathematical Biology Modeling days of Besançon, Jun 2018, Besançon, France Communication dans un congrès hal-01969102v1
	Mathematical Modeling and Prediction of Clinical Metastasis Sébastien Benzekry Mathematical Challenges in the Analysis of Continuum Models for Cancer Growth, Evolution and Therapy, Nov 2018, Oaxaca, Mexico Communication dans un congrès hal-01969108v1
	Optimization of sequential administration of bevacizumab plus cytotoxics in non-small cell lung cancer by combining in vivo experiments and mathematical modeling Sébastien Benzekry Mathematical perspectives in the biology and therapeutics of cancer, Jul 2018, Marseille, France Communication dans un congrès hal-01969142v1
	Optimized radiotherapy protocols delay the malignant transformation of low-grade gliomas in-silico Araceli Henares-Molina , Sébastien Benzekry , Pedro Lara , Marcial García-Rojo , Victor Pérez-García 5th Quadrennial Meeting of the World Federation of Neuro-Oncology Societies, May 2017, Zurich, Switzerland. pp.iii12 - iii12, ⟨10.1093/neuonc/nox036.040⟩ Communication dans un congrès hal-01517899v1
	Abstract 2099: Model-driven optimization of anti-angiogenics combined with chemotherapy: application to bevacizumab + pemetrexed/cisplatin doublet in NSCLC-bearing mice Joseph Ciccolini , Sebastien Benzekry , Sarah Giacometti , Fabrice Barlesi , Dominique Barbolosi 107th Annual Meeting of the American Association for Cancer Research, 2016, New Orleans, France. pp.20, ⟨10.1158/1538-7445.AM2016-2099⟩ Communication dans un congrès hal-01404637v1
	On the growth and dissemination laws in a mathematical model of metastatic growth Sébastien Benzekry , John M.L. Ebos Workshop on Multiscale and Hybrid Modelling in Cell and Cell Population Biology, Mar 2015, Paris, France. ⟨10.1051/itmconf/20150500007⟩ Communication dans un congrès hal-01222088v1
	Model-based optimization of combined antiangiogenic + cytotoxics modalities: application to the bevacizumab-paclitaxel association in breast cancer models Séverine Mollard , Sébastien Benzekry , Giacometti Sarah , Christian Faivre , Florence Hubert AACR Annual Meeting 2014, Apr 2014, San Diego, United States. ⟨10.1158/1538-7445.AM2014-3677⟩ Communication dans un congrès hal-01090883v1
	A mathematical model of systemic inhibition of angiogenesis in metastatic development Sébastien Benzekry , Alberto Gandolfi , Philip Hahnfeldt Congres SMAI 2013, May 2013, Seignosse, France. pp.75-87, ⟨10.1051/proc/201445008⟩ Communication dans un congrès hal-00867992v1

	Quantitative cell-free DNA markers for prediction of early progression in patients undergoing immunotherapy Linh Nguyen Phuong , Laurent Greillier , Caroline Gaudy , Jean-Laurent Deville , Jean-Charles Garcia Summer School AI4Health, Jul 2023, Paris, France Poster de conférence hal-04388821v1
	Quantitative cell-free DNA markers for prediction of early progression in patients undergoing immunotherapy Linh Nguyen Phuong , Laurent Greillier , Caroline Gaudy , Jean-Laurent Deville , Jean-Charles Garcia Annual meeting of the Institute of Cancer and Immunologie of Marseille, Jun 2023, Marseille, France Poster de conférence hal-04388796v1
	Pharmacometrics modeling coupled with machine learning for early prediction of survival following atezolizumab monotherapy in non-small cell lung cancer Sébastien Benzekry , Mélanie Karlsen , Abdessamad Elkaoutari , Suresh Vatakuti , Petter Curle Journée de la Recherche en Pharmacie, Oct 2022, Marseille, France Poster de conférence hal-03935812v1
	Pharmacometrics modeling coupled with machine learning for early prediction of survival following atezolizumab monotherapy in non-small cell lung cancer Sébastien Benzekry , Mélanie Karlsen , Abdessamad Elkaoutari , Suresh Vatakuti , Petter Curle compsyscan22 : A complex systems approach to cancer understanding, Oct 2022, Lyon, France Poster de conférence hal-03935786v1
	Machine learning for prediction of immunotherapy efficacy in non-small cell lung cancer from simple clinical and biological data Sébastien Benzekry , Mathieu Grangeon , Mélanie Karlsen , Pauline Fleury , Maria Alexa Colloque Sciences numériques et Intelligence Artificielle pour la Santé à Aix-Marseille Université, Nov 2021, Marseille, France. 2021 Poster de conférence hal-03467615v1
	Machine Learning and Mechanistic Modeling for the prediction of Overall Survival on the basis of 1st line Tumor Dynamics in Head and Neck Squamous Cell Carcinoma Kevin Atsou , Anne Auperin , Joêl Guigay , Sébastien Salas , Sébastien Benzekry Colloque Science numériques et intelligence Artificielle pour la Santé, AMU, Nov 2021, Marseille, France Poster de conférence hal-03467230v1
	Population modeling of tumor growth curves, the reduced Gompertz model and prediction of the age of a tumor Cristina Vaghi , Anne Rodallec , Raphaelle Fanciullino , Joseph Ciccolini , Jonathan Paul M. Mochel PAGE 2019 Twenty-eighth meeting, Jun 2019, Stockholm, Sweden Poster de conférence hal-02424578v1
	Mathematical modeling of differential effects of neo-adjuvant Sunitinib on primary tumor and metastatic growth Chiara Nicolò , Michalis Mastri , Amanda Tracz , John M.L. Ebos , Sébastien Benzekry AACR Annual Meeting 2018, Apr 2018, Chicago, United States. 78 (13 Supplement), pp.4264, 2018, ⟨10.1158/1538-7445.AM2018-4264⟩ Poster de conférence hal-01968917v1
	A biologically-based mathematical model for prediction of metastatic relapse Michalis Mastri , Cynthia Perier , Gaetan Macgrogan , John M.L. Ebos , Sébastien Benzekry 17th Biennial Congress of the Metastasis Research Society, Aug 2018, Princeton, United States Poster de conférence hal-01968980v1
	Modeling Primary Tumor Dynamics of Human-to-Mouse Xenografted Non-Small Cell Lung Cancer in Response to Administration of Bevacizumab and Pemetrexed-Cisplatin Benjamin Schneider , Arnaud Boyer , Joseph Ciccolini , Kenneth Wang , Martin E Fernandez-Zapico Population Approach Group in Europe (PAGE) Meeting 2018, May 2018, Montreux, Switzerland. 2018 Poster de conférence hal-01968942v1
	Improving the efficacy of anti-cancer nanoparticles with data-driven mathematical modeling Cristina Vaghi , Anne Rodallec , Raphaelle Fanciullino , Joseph Ciccolini , Clair Poignard Data Science Summer School, Jun 2018, Palaiseau, France Poster de conférence hal-01968959v1

	Population Modeling of Tumor Growth Curves, the Reduced Gompertz Model and Prediction of the Age of a Tumor Cristina Vaghi , Anne Rodallec , Raphaelle Fanciullino , Joseph Ciccolini , Jonathan Paul M. Mochel Mathematical and Computational Oncology, pp.87-97, 2019, ⟨10.1007/978-3-030-35210-3_7⟩ Chapitre d'ouvrage hal-02383995v1
	A Mathematical Model for Growing Metastases on Oncologists’s Service Dominique Barbolosi , Assia Benabdallah , Sébastien Benzekry , Joseph Ciccolini , Christian Faivre Computational Surgery and Dual Training, Springer, pp.331 - 338, 2014, ⟨10.1007/978-1-4614-8648-0_21⟩ Chapitre d'ouvrage hal-01087708v1

	Pre- and post-surgical monitoring of experimental primary tumor growth and metastasis under neo-adjuvant treatment Michalis Mastri , Sébastien Benzekry , John Ml Ebos 2024, ⟨10.5281/zenodo.10607555⟩ Autre publication scientifique hal-04433396v1

	Comprehensive Joint Modeling of First-Line Therapeutics in Non-Small Cell Lung Cancer Benjamin Schneider , Sébastien Benzekry , Jonathan Mochel 2024 Pré-publication, Document de travail hal-04387881v1
	Computational modeling approaches for circulating cell-free DNA in oncology Linh Nguyen Phuong , Sébastien Salas , Sébastien Benzekry 2024 Pré-publication, Document de travail hal-04481689v2
	Predicting survival and trial outcome in non-small cell lung cancer integrating tumor and blood markers kinetics with machine learning Sébastien Benzekry , Mélanie Karlsen , Célestin Bigarré , Abdessamad El Kaoutari , Bruno Gomes 2023 Pré-publication, Document de travail hal-04375606v1
	Acquired resistance to PD-L1 inhibition is associated with an enhanced type I IFN-stimulated secretory program in tumor cells Yuhao Shi , Melissa Dolan , Michalis Mastri , Amber Mckenery , James W Hill 2023 Pré-publication, Document de travail hal-04387866v1
	Mechanistic modeling of brain metastases in NSCLC provides computational markers for personalized prediction of outcome Sebastien Benzekry , Pirmin Schlicke , Pascale Tomasini , Eleonore Simon 2023 Pré-publication, Document de travail hal-03935739v1
	Machine-learning and mechanistic modeling of primary and metastatic breast cancer growth after neoadjuvant targeted therapy Sébastien Benzekry , Michalis Mastri , Chiara Nicolò , John Ebos 2023 Pré-publication, Document de travail hal-04384182v1
	Mechanistic modeling of metastatic relapse in early breast cancer to investigate the biological impact of prognostic biomarkers Célestin BIGARRÉ , François Bertucci , Pascal Finetti , Gaëtan Macgrogan , Xavier Muracciole 2022 Pré-publication, Document de travail hal-03936594v1
	A reduced Gompertz model for predicting tumor age using a population approach Cristina Vaghi , Anne Rodallec , Raphaelle Fanciullino , Joseph Ciccolini , Jonathan Paul M. Mochel 2019 Pré-publication, Document de travail hal-02165901v1
	Quantitative Analysis of the Tumor/Metastasis System and its Optimal Therapeutic Control Sébastien Benzekry , Dominique Barbolosi , Assia Benabdallah , Florence Hubert , Philip Hahnfeldt 2012 Pré-publication, Document de travail hal-00836023v1
	Semaine d'Etude Mathématiques et Entreprises 1 : Deux problèmes sur les parcs solaires. Nina Aguillon , Sebastien Benzekry , Jérémie Bettinelli , Pierre Bochard , Nicolas Bonnotte 2011 Pré-publication, Document de travail hal-00710024v1

	Mathematical modeling of tumor and metastatic growth when treated with sunitinib Simon Evain , Sebastien Benzekry [Research Report] Inria Bordeaux Sud-Ouest. 2016 Rapport hal-01377994v1
	Around a mathematical model of the concomitant tumor resistance phenomenon Laura Lumale , Sébastien Benzekry [Research Report] INRIA Bordeaux; Equipe MONC; INSA Toulouse. 2016 Rapport hal-01420449v1

	Modeling, mathematical and numerical analysis of anti-cancerous therapies for metastatic cancers Sébastien Benzekry Analysis of PDEs [math.AP]. Université Aix-Marseille 1 – Université de Provence, 2011. English. ⟨NNT : ⟩ Thèse tel-01658210v1

	Contributions in Mathematical Oncology: When Theory Meets Reality Sébastien Benzekry Mathematics [math]. Université de Bordeaux, 2017 HDR tel-01658070v1

	Quantitative modeling of metastasis: cancer at the organism scale Sébastien Benzekry Doctoral. United States. 2021 Cours hal-03261886v1

	Des modèles mathématiques pour optimiser la recherche clinique en cancérologie Sébastien Benzekry 2022 Son hal-03746574v1

Sebastien Benzekry

Publications

Mechanistic modeling of metastatic relapse in early breast cancer to investigate the biological impact of prognostic biomarkers

Practical identifiability analysis of a mechanistic model for the time to distant metastatic relapse and its application to renal cell carcinoma

Asymptotic analysis of a biphase tumor fluid flow: the weak coupling case.

Des modèles mathématiques pour la recherche clinique en cancérologie

Macro-scale models for fluid flow in tumour tissues: impact of microstructure properties

Tumor growth monitoring in breast cancer xenografts: A good technique for a strong ethic

Machine Learning for Prediction of Immunotherapy Efficacy in Non-Small Cell Lung Cancer from Simple Clinical and Biological Data

Experimental and computational modeling for signature and biomarker discovery of renal cell carcinoma progression

Development and Validation of a Prediction Model of Overall Survival in High-Risk Neuroblastoma Using Mechanistic Modeling of Metastasis

Artificial Intelligence and Mechanistic Modeling for Clinical Decision Making in Oncology

Population modeling of tumor growth curves and the reduced Gompertz model improve prediction of the age of experimental tumors

Machine Learning and Mechanistic Modeling for Prediction of Metastatic Relapse in Early-Stage Breast Cancer

Mechanistic Learning for Combinatorial Strategies With Immuno-oncology Drugs: Can Model-Informed Designs Help Investigators?

Prédiction de l'efficacité de l'immunothérapie dans le cancer bronchique à partir de données cliniques et biologiques simples : apport de l'intelligence artificielle

Deciphering the response and resistance to immunecheckpoint inhibitors in lung cancer with artificial intelligence-based analysis: the pioneer and quantic joint-projects

Combinatorial immunotherapy strategies : most gods throw dice, but fate plays chess

Quantitative mathematical modeling of clinical brain metastasis dynamics in non-small cell lung cancer

Optimal Scheduling of Bevacizumab and Pemetrexed/cisplatin Dosing in Non‐Small Cell Lung Cancer

Combinatorial immunotherapy strategies: most gods throw dice, but fate

CAR T-Cell Immunotherapy in Human and Veterinary Oncology: Changing the Odds Against Hematological Malignancies

Is There Any Room for Pharmacometrics With Immuno-Oncology Drugs? Input from the EORTC-PAMM Course on Preclinical and Early-phase Clinical Pharmacology

Revisiting bevacizumab + cytotoxics scheduling using mathematical modeling: proof of concept study in experimental non-small cell lung carcinoma

Pharmacokinetics variability: why nanoparticles are not magic bullets in oncology

Turning cold tumors into hot tumors: harnessing the potential of tumor immunity using nanoparticles

Model-driven optimization of antiangiogenics + cytotoxics combination: application to breast cancer mice treated with bevacizumab + paclitaxel doublet leads to reduced tumor growth and fewer metastasis

Mathematical modeling of tumor-tumor distant interactions supports a systemic control of tumor growth

Non-standard radiotherapy fractionations delay the time to malignant transformation of low-grade gliomas

Dose- and time-dependence of the host-mediated response to paclitaxel therapy: a mathematical modeling approach

Etude de l'effet séquence bevacizumab/pemetrexed/cisplatine chez la souris porteuse de cancer du poumon non à petites cellules

Next generation metronomic chemotherapy - report from the Fifth Biennial International Metronomic and Anti-angiogenic Therapy Meeting, 6 - 8 May 2016, Mumbai

Modeling Spontaneous Metastasis following Surgery: An In Vivo-In Silico Approach

In Vivo Bioluminescence Tomography for Monitoring Breast Tumor Growth and Metastatic Spreading: Comparative Study and Mathematical Modeling

Mathematical modeling of cancer immunotherapy and its synergy with radiotherapy

Les lois de la croissance tumorale

Improving efficacy of the combination between antiangiogenic and chemotherapy: Time for mathematical modeling support

Metronomic Reloaded: Theoretical Models Bringing Chemotherapy into the Era of Precision Medicine

Computational Modelling of Metastasis Development in Renal Cell Carcinoma

Capturing the Driving Role of Tumor-Host Crosstalk in a Dynamical Model of Tumor Growth

Design principles for cancer therapy guided by changes in complexity of protein-protein interaction networks

Host Age Is a Systemic Regulator of Gene Expression Impacting Cancer Progression

Classical Mathematical Models for Description and Forecast of Experimental Tumor Growth

Global Dormancy of Metastases due to Systemic Inhibition of Angiogenesis

Maximum tolerated dose versus metronomic scheduling in the treatment of metastatic cancers.

Theoretical investigation of the efficacy of antiangiogenic drugs combined to chemotherapy in xenografted mice.

Modeling the impact of anticancer agents on metastatic spreading

A new mathematical model for optimizing the combination between antiangiogenic and cytotoxic drugs in oncology

Mathematical and numerical analysis of a model for anti-angiogenic therapy in metastatic cancers

Mathematical analysis of a two-dimensional population model of metastatic growth including angiogenesis

Passing to the limit 2D-1D in a model for metastatic growth

Artificial intelligence in healthcare data warehouses

Une comparaison des algorithmes d'apprentissage pour la survie avec données manquantes

Using statistical learning for clinical trials

Mechanistic modeling of the longitudinal tumor and biological markers combined with quantitative cell-free DNA

Integrative kinetics and machine learning modeling for prediction of outcome following immunotherapy in lung cancer

Integrative kinetics and machine learning modeling for prediction of outcome following immunotherapy in lung cancer

Integrative kinetics and machine learning modeling for prediction of outcome following immunotherapy in lung cancer

Integrative kinetics and machine learning modeling for prediction of outcome following immunotherapy in lung cancer

Supporting decision making and early prediction of survival for oncology drug development using a pharmacometrics-machine learning based model

Machine learning for prediction of immunotherapy efficacy in nonsmall cell lung cancer from simple clinical and biological data

3MO - Comprehensive biomarkers (BMs) analysis to predict efficacy of PD1/L1 immune checkpoint inhibitors (ICIs) in combination with chemotherapy: a subgroup analysis of the Precision Immuno-Oncology for advanced Non-Small CEll Lung CancER (PIONeeR) trial

A mechanistic model for prediction of metastatic relapse in early-stage breast cancer using routine clinical features

Comprehensive biomarkers analysis to explain resistances to PD1-L1 ICIs: The precision immuno-oncology for advanced non-small cell lung cancer (PIONeeR) trial

Pharmacometrics modeling coupled with machine learning for early prediction of survival following atezolizumab monotherapy in non-small cell lung cancer

Machine learning versus mechanistic modeling for prediction of metastatic relapse in breast cancer

Data-driven mechanistic modeling of metastasis: cancer at the organism scale

Mechanistic modeling of metastasis: cancer at the organism scale

Mathematical Modeling of Tumor-Tumor Distant Interactions Supports a Systemic Control of Tumor Growth

Mathematical Modeling and Prediction of Clinical Metastasis

Optimization of sequential administration of bevacizumab plus cytotoxics in non-small cell lung cancer by combining in vivo experiments and mathematical modeling

Optimized radiotherapy protocols delay the malignant transformation of low-grade gliomas in-silico

Abstract 2099: Model-driven optimization of anti-angiogenics combined with chemotherapy: application to bevacizumab + pemetrexed/cisplatin doublet in NSCLC-bearing mice

On the growth and dissemination laws in a mathematical model of metastatic growth

Model-based optimization of combined antiangiogenic + cytotoxics modalities: application to the bevacizumab-paclitaxel association in breast cancer models

A mathematical model of systemic inhibition of angiogenesis in metastatic development

Quantitative cell-free DNA markers for prediction of early progression in patients undergoing immunotherapy

Quantitative cell-free DNA markers for prediction of early progression in patients undergoing immunotherapy

Pharmacometrics modeling coupled with machine learning for early prediction of survival following atezolizumab monotherapy in non-small cell lung cancer

Pharmacometrics modeling coupled with machine learning for early prediction of survival following atezolizumab monotherapy in non-small cell lung cancer