Sebastien Benzekry

Head of the Inria – Inserm project team COMPO (COMPutational pharmacology and clinical Oncology)
85%
Open access
131
Documents
Current affiliation
  • Méthodes computationnelles pour la prise en charge thérapeutique en oncologie : Optimisation des stratégies par modélisation mécaniste et statistique (COMPO)

Presentation

Sebastien Benzekry is a scientific researcher (PhD, HDR) at Inria, the french institute for applied mathematics, computer science and their applications. He has created (in 2021) and heads the Inria – Inserm (French national institute for biomedical research) project-team COMPO (COMPutational pharmacology and clinical Oncology), affiliated to both Inria and the Center for Research on Cancer of Marseille (Inserm U1068, CNRS UMR7258, Institut Paoli-Calmettes Institute, Aix-Marseille University, Faculty of Pharmacy). The objective of his research is to model data arising from (clinical) oncology in order to 1) bring clinical decision tools to enhance therapeutic management, 2) better inform and design clinical trials and 3) test biological hypotheses. To do so, he combines mechanistic (i.e., simulation models of the pharmaco-patho-physiological processes in cancer) and statistical learning through an approach termed 'mechanistic learning'. He has fifteen years of experience in trans-disciplinary projects in oncology, with a strong track record of publications in high impact journals (Cancer Res, PLoS Comp Biol, Clin Pharmacol Ther,...). His main topics of research are modeling metastatic development and immuno-oncology, integrating longitudinal data. These are implemented into code libraries developed with a focus on software development standards.

Dr Benzekry has an initial training in applied mathematics (Ecole Normale Supérieure) followed by a PhD at Aix-Marseille University and further training in computational / systems biology as a postdoc in the Center for Cancer and Systems Biology, Tufts Univ, Boston, MA.

Citations: 2095, h-index 24 (11/2011 – 03/2024), 50 research articles, 24 book chapters, editorials and proceedings.

https://team.inria.fr/compo/ https://www-sop.inria.fr/members/Sebastien.Benzekry/index.html https://scholar.google.fr/citations?user=xsLpdFAAAAAJ&hl=fr&oi=ao

Publications

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Publications

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Computational modeling for circulating cell-free DNA in clinical oncology

Linh Nguyen Phuong , Sébastien Salas , Sébastien Benzekry
JCO Clinical Cancer Informatics, 2025, 9, ⟨10.1200/CCI-24-00224⟩
Journal articles hal-04481689 v3
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Predicting Survival in Patients with Advanced NSCLC Treated with Atezolizumab Using Pre‐ and on‐Treatment Prognostic Biomarkers

Sébastien Benzekry , Mélanie Karlsen , Célestin Bigarré , Abdessamad El Kaoutari , Bruno Gomes et al.
Clinical Pharmacology and Therapeutics, 2024, 116 (4), pp.1110-1120. ⟨10.1002/cpt.3371⟩
Journal articles hal-04647230 v1
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A senescence-mimicking (senomimetic) VEGFR TKI side-effect primes tumor immune responses via IFN/STING signaling

Melissa Dolan , Yuhao Shi , Michalis Mastri , Mark Long , Amber Mckenery et al.
Molecular Cancer Therapeutics, In press, Online ahead of print. ⟨10.1158/1535-7163.MCT-24-0139⟩
Journal articles hal-04571490 v1
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Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma

Kevin Atsou , Anne Auperin , Jôel Guigay , Sébastien Salas , Sébastien Benzekry
CPT: Pharmacometrics and Systems Pharmacology, 2024, ⟨10.1002/psp4.13294⟩
Journal articles hal-04558029 v2
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Lack of Prophylactic Cranial Irradiation for Extensive Small-Cell Lung Cancer in Real Life, with the Emergence of Immunotherapy

Alice Daumas , Celestin Bigarre , Mohamed Boucekine , Audrey Zaccariotto , Bertrand Kaeppelin et al.
Cancers, 2024, 16 (23), pp.4122. ⟨10.3390/cancers16234122⟩
Journal articles hal-04863847 v1
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Acquired resistance to PD-L1 inhibition enhances a type I IFN-regulated secretory program in tumors

Yuhao Shi , Amber Mckenery , Melissa Dolan , Michalis Mastri , James W Hill et al.
EMBO Reports, 2024, 26, pp.521 - 559. ⟨10.1038/s44319-024-00333-0⟩
Journal articles hal-04387866 v2
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Machine-learning and mechanistic modeling of primary and metastatic breast cancer growth after neoadjuvant targeted therapy

Sébastien Benzekry , Michalis Mastri , Chiara Nicolò , John Ebos
PLoS Computational Biology, 2024, 20 (5), pp.e1012088. ⟨10.1371/journal.pcbi.1012088⟩
Journal articles hal-04384182 v2
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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 et al.
Computer Methods and Programs in Biomedicine, 2023, 231, pp.107401. ⟨10.1016/j.cmpb.2023.107401⟩
Journal articles hal-04008520 v1
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Reuniting philosophy and science to advance cancer research.

Thomas Pradeu , Bertrand Daignan-Fornier , Andrew Ewald , Pierre-Luc Germain , Samir Okasha et al.
Biological Reviews, In press, ⟨10.1111/brv.12971⟩
Journal articles hal-04190936 v1

Computational markers for personalized prediction of outcomes in non-small cell lung cancer patients with brain metastases

Sébastien Benzekry , Pirmin Schlicke , Alice Mogenet , Laurent Greillier , Pascale Tomasini et al.
Clinical and Experimental Metastasis, 2023, ⟨10.1007/s10585-023-10245-3⟩
Journal articles hal-04360487 v1

Des modèles mathématiques pour la recherche clinique en cancérologie

Sébastien Benzekry
Interstices, 2022, ⟨10.60527/7cky-8075⟩
Journal articles hal-03746564 v1
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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⟩
Journal articles hal-02891573 v1
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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 et al.
PLoS Computational Biology, 2022, 18, ⟨10.1371/journal.pcbi.1010444⟩
Journal articles hal-03921339 v1
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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⟩
Journal articles hal-03354766 v2
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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⟩
Journal articles hal-03924541 v1
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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 et al.
Cancers, 2021, 13 (24), pp.6210. ⟨10.3390/cancers13246210⟩
Journal articles hal-03478003 v2
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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 et al.
Molecular Cancer, 2021, 20, pp.136. ⟨10.1186/s12943-021-01416-5⟩
Journal articles hal-03390517 v1
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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⟩
Journal articles hal-03147049 v1
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Artificial Intelligence and Mechanistic Modeling for Clinical Decision Making in Oncology

Sébastien Benzekry
Clinical Pharmacology and Therapeutics, 2020, ⟨10.1002/cpt.1951⟩
Journal articles hal-02916941 v1
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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 et al.
PLoS Computational Biology, 2020, 16 (2), pp.e1007178. ⟨10.1371/journal.pcbi.1007178⟩
Journal articles inserm-02515955 v1
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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⟩
Journal articles hal-03147110 v1
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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 et al.
JCO Clinical Cancer Informatics, 2020, 4, pp.259-274. ⟨10.1200/CCI.19.00133⟩
Journal articles hal-02942177 v1
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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 et al.
Revue des Maladies Respiratoires Actualites, 2020, 12 (1), pp.217. ⟨10.1016/j.rmra.2019.11.477⟩
Journal articles hal-03147118 v1
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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⟩
Journal articles hal-03147084 v1
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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⟩
Journal articles hal-02383826 v1
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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 et al.
CPT: Pharmacometrics and Systems Pharmacology, 2019, ⟨10.1002/psp4.12415⟩
Journal articles hal-02109335 v1
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Quantitative mathematical modeling of clinical brain metastasis dynamics in non-small cell lung cancer

Maria Bilous , Cindy Serdjebi , Arnaud Boyer , Claudia Pouypoudat , Pascale Tomasini et al.
Scientific Reports, 2019, 9 (1), ⟨10.1038/s41598-019-49407-3⟩
Journal articles hal-01928442 v2
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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⟩
Journal articles hal-02383831 v1
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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 et al.
AAPS Journal, 2019, 21 (3), ⟨10.1208/s12248-019-0322-1⟩
Journal articles hal-02099159 v1
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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⟩
Journal articles hal-03147132 v1
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Turning cold tumors into hot tumors: harnessing the potential of tumor immunity using nanoparticles

Anne Rodallec , Guillaume Sicard , Raphaelle Fanciullino , Sébastien Benzekry , Bruno Lacarelle et al.
Expert Opinion on Drug Metabolism and Toxicology, 2018, 14 (11), pp.1-9. ⟨10.1080/17425255.2018.1540588⟩
Journal articles hal-01958583 v1
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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 et al.
CPT: Pharmacometrics and Systems Pharmacology, 2018, pp.1-9. ⟨10.1002/psp4.12265⟩
Journal articles hal-01624423 v2
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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⟩
Journal articles hal-01821678 v1
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Mathematical modeling of tumor-tumor distant interactions supports a systemic control of tumor growth

Sébastien Benzekry , Clare Lamont , Dominique Barbolosi , Lynn Hlatky , Philip Hahnfeldt
Journal articles hal-01566947 v1
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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 et al.
Journal articles hal-01474679 v1
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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 et al.
Journal articles hal-01532505 v1

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 et al.
Revue des Maladies Respiratoires, 2017, 34, ⟨10.1016/j.rmr.2016.10.110⟩
Journal articles hal-01540322 v1

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 et al.
Oncotarget, 2017, 9 (2), pp.2574-2590. ⟨10.18632/oncotarget.23514⟩
Journal articles hal-01672568 v1
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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 et al.
Scientific Reports, 2016, 6, pp.10. ⟨10.1038/srep36173⟩
Journal articles hal-01392861 v1
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Modeling Spontaneous Metastasis following Surgery: An In Vivo-In Silico Approach

Sébastien Benzekry , Amanda Tracz , Michalis Mastri , R. Corbelli , Dominique Barbolosi et al.
Cancer Research, 2016, 76 (3), pp.535 - 547. ⟨10.1158/0008-5472.CAN-15-1389⟩
Journal articles hal-01222046 v2
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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 et al.
Ecancermedicalscience, 2016, 10, ⟨10.3332/ecancer.2016.689⟩
Journal articles hal-01392473 v1
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Les lois de la croissance tumorale

Sébastien Benzekry
Bibliothèque Tangente, 2016
Journal articles hal-01418295 v1

Mathematical modeling of cancer immunotherapy and its synergy with radiotherapy

R. Serre , Sébastien Benzekry , Laetitia Padovani , C. Meille , N. Andre et al.
Journal articles hal-01336779 v1
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Metronomic Reloaded: Theoretical Models Bringing Chemotherapy into the Era of Precision Medicine

Sébastien Benzekry , Eddy Pasquier , Dominique Barbolosi , Bruno Lacarelle , Fabrice Barlési et al.
Seminars in Cancer Biology, 2015, pp.23. ⟨10.1016/j.semcancer.2015.09.002⟩
Journal articles hal-01195547 v1
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Computational Modelling of Metastasis Development in Renal Cell Carcinoma

Etienne Baratchart , Sébastien Benzekry , Andreas Bikfalvi , Thierry Colin , Lindsay S. Cooley et al.
PLoS Computational Biology, 2015, 11 (11), ⟨10.1371/journal.pcbi.1004626⟩
Journal articles hal-01164834 v2

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⟩
Journal articles hal-01168635 v1
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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⟩
Journal articles hal-01158313 v1

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

Afshin Beheshti , Sebastien Benzekry , J. Tyson Mcdonald , Lili Ma , Michael Peluso et al.
Cancer Research, 2015, 75 (6), pp.10. ⟨10.1158/0008-5472.CAN-14-1053⟩
Journal articles hal-01132048 v1
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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)
Journal articles hal-01222068 v1
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Classical Mathematical Models for Description and Forecast of Experimental Tumor Growth

Sébastien Benzekry , Clare Lamont , Afshin Beheshti , Amanda Tracz , John M.L. Ebos et al.
PLoS Computational Biology, 2014, 10 (8), pp.e1003800. ⟨10.1371/journal.pcbi.1003800⟩
Journal articles hal-00922553 v6
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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⟩
Journal articles hal-00868592 v3

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

Floriane Lignet , Sébastien Benzekry , Shelby Wilson , Frédérique Billy , Olivier Saut et al.
Journal of Theoretical Biology, 2013, 320, pp.86-99. ⟨10.1016/j.jtbi.2012.12.013⟩
Journal articles istex hal-00785876 v1
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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⟩
Journal articles hal-00836032 v1
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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⟩
Journal articles hal-00641476 v2
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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
Journal articles hal-00518110 v1
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Modeling the impact of anticancer agents on metastatic spreading

Sébastien Benzekry , Nicolas André , Assia Benabdallah , Joseph Ciccolini , Christian Faivre et al.
Mathematical Model Natural Phenomenon, 2012, 7 (1), pp 306--336. ⟨10.1051/mmnp/20127114⟩
Journal articles hal-00657724 v1
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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⟩
Journal articles hal-00521968 v1
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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
Journal articles hal-00516693 v1
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Pharmacokinetic-pharmacodynamic modeling of antibody nanoconjugates in breast cancer treatment

Cristina Vaghi , Anne Rodallec , Joseph Ciccolini , Raphaëlle Fanciullino , Sébastien Benzekry
2025
Preprints, Working Papers, ... hal-04937059 v1
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Model-driven scheduling of a novel anti-cancer polymer prodrug administered subcutaneously

Anne Rodallec , Randy Lee , Jingming Cao , Sophie Marolleau , Julien Nicolas et al.
2025
Preprints, Working Papers, ... hal-04937053 v1
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Metamats: A mechanistic software for the simulation, inference and prediction of clinical metastasis

Célestin Bigarré , Alice Daumas , Laurent Greillier , Xavier Muracciole , Laeticia Padovani et al.
2025
Preprints, Working Papers, ... hal-04935804 v1
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Optimizing First-Line Therapeutics in Non-Small Cell Lung Cancer: Insights from Joint Modeling and Large-Scale Data Analysis

Benjamin Schneider , Sébastien Benzekry , Jonathan Mochel
2025
Preprints, Working Papers, ... hal-04902176 v1
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Mechanistic modeling of brain metastases in NSCLC provides computational markers for personalized prediction of outcome

Sebastien Benzekry , Pirmin Schlicke , Pascale Tomasini , Eleonore Simon
2023
Preprints, Working Papers, ... hal-03935739 v1
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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 et al.
2023
Preprints, Working Papers, ... hal-04375606 v1
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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 et al.
2022
Preprints, Working Papers, ... hal-03936594 v1
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Comprehensive Joint Modeling of First-Line Therapeutics in Non-Small Cell Lung Cancer

Benjamin Schneider , Sébastien Benzekry , Jonathan Mochel
2024
Preprints, Working Papers, ... hal-04387881 v1
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A reduced Gompertz model for predicting tumor age using a population approach

Cristina Vaghi , Anne Rodallec , Raphaelle Fanciullino , Joseph Ciccolini , Jonathan Paul M. Mochel et al.
2019
Preprints, Working Papers, ... hal-02165901 v1
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Quantitative Analysis of the Tumor/Metastasis System and its Optimal Therapeutic Control

Sébastien Benzekry , Dominique Barbolosi , Assia Benabdallah , Florence Hubert , Philip Hahnfeldt
2012
Preprints, Working Papers, ... hal-00836023 v1
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Semaine d'Etude Mathématiques et Entreprises 1 : Deux problèmes sur les parcs solaires.

Nina Aguillon , Sebastien Benzekry , Jérémie Bettinelli , Pierre Bochard , Nicolas Bonnotte et al.
2011
Preprints, Working Papers, ... hal-00710024 v1
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Mechanistic Learning to predict the results of clinical trials

Sébastien Benzekry
AMLD 2024 - Applied Machine Learning Days, Mar 2024, Lausanne, Switzerland
Conference papers hal-04990478 v1
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Precision Immuno-Oncology in NSCLC: Challenges in machine learning biomarkers research

Sébastien Benzekry
EORTC PAMM 2024 - 44th Meeting of the European Organization of Research and Treatment of Cancer (EORTC) – Pharmacology and Molecular Mechanisms (PAMM) Group, Feb 2024, Marseille, France
Conference papers hal-04990474 v1

Integrating tumor kinetics and circulating cell-free DNA markers through mechanistic modeling for early prediction of immunotherapy response

Linh Nguyen Phuong , Frederic Fina , Laurent Greillier , Caroline Gaudy-Marqueste , Jean-Laurent Deville et al.
KSMB-SMB 2024 - Joint annual meeting of the Korean Society for Mathematical Biology and the Society for Mathematical Biology, Jul 2024, Seoul, South Korea
Conference papers hal-04665038 v1

Mechanistic modelling of tumor kinetics coupled with biomarker dynamics for survival prediction in non-small cell lung cancer patients

Ruben Taieb , René Bruno , Jin Jin , Pascal Chanu , Sébastien Benzekry
PAGE meeting XXXII - 2024 Population approach group meeting, 2024, Roma, France
Conference papers hal-04880274 v1

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

Sébastien Benzekry
ECMTB 2024 - European Conference on Theoretical and Mathematical Biology, Jul 2024, Toledo (Spain), Spain
Conference papers hal-04990489 v1
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Integrative kinetics and machine learning modeling for prediction of outcome following immunotherapy in lung cancer

Sébastien Benzekry
KSMB-SMB 2024 - Joint annual meeting of the Korean Society for Mathematical Biology and the Society for Mathematical Biology, Jun 2024, Seoul, South Korea
Conference papers hal-04990485 v1
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Mechanistic learning to predict response and survival in immuno-oncology: A modeling journey in immuno-oncology

Sébastien Benzekry
BIOMAT 2024 - 19th International Summer School, Jun 2024, Granada (Spain), Spain
Conference papers hal-04990482 v1
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Machine Learning to Predict Survival and Resistance to Immune Checkpoint Inhibition

Sébastien Benzekry
Twelfth International Workshop on Pharmacodynamics of Anticancer Agents, Sep 2024, Ponta Delgada (Açores), Portugal
Conference papers hal-04990492 v1

Artificial intelligence in healthcare data warehouses

Sébastien Benzekry
Annual congress of the French group of clinical pneumo-oncology (GPCO), Jun 2023, Toulon, France
Conference papers hal-04388413 v1
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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⟩
Conference papers hal-04384220 v1

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
Conference papers hal-04388605 v1

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
Conference papers hal-04388478 v1

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
Conference papers hal-04388750 v1

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
Conference papers hal-04388499 v1

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
Conference papers hal-04388572 v1

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 et al.
2023 SMB annual meeting - Annual Meeting of the Society for Mathematical Biology, Society for Mathematical Biology, Jul 2023, Columbus (Ohio), United States
Conference papers hal-04388020 v1
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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 et al.
2022 ESMO Immuno-Oncology Congress, Dec 2022, Geneva, Switzerland
Conference papers hal-03928784 v1
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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 et al.
WCoP 2022 - World Conference on Pharmacometrics, Mar 2022, Cape Town, South Africa
Conference papers hal-03935743 v1
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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⟩
Conference papers hal-03752407 v1
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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 et al.
PAGE - Population Approach Group Europe, Jun 2022, Ljubljana, Slovenia
Conference papers hal-03921394 v1

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 et al.
2022 AACR annual meeting, AACR, Apr 2022, New Orleans, United States. pp.LB120, ⟨10.1158/1538-7445.AM2022-LB120⟩
Conference papers hal-03926538 v1
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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 et al.
World Conference on Pharmacometrics, Mar 2022, Cape Town, South Africa
Conference papers hal-03935768 v1
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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
Conference papers hal-02424419 v1
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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
Conference papers hal-02424452 v2
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Mechanistic modeling of metastasis: cancer at the organism scale

Sébastien Benzekry
International Society of Pharmacometrics (ISoP) workshop, Jul 2019, Paris, France
Conference papers hal-02424424 v1
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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
Conference papers hal-01969102 v1
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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
Conference papers hal-01969142 v1
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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
Conference papers hal-01969108 v1

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 et al.
5th Quadrennial Meeting of the World Federation of Neuro-Oncology Societies, May 2017, Zurich, Switzerland. pp.iii12 - iii12, ⟨10.1093/neuonc/nox036.040⟩
Conference papers hal-01517899 v1

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⟩
Conference papers hal-01404637 v1
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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⟩
Conference papers hal-01222088 v1
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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⟩
Conference papers hal-00867992 v1

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 et al.
AACR Annual Meeting 2014, Apr 2014, San Diego, United States. ⟨10.1158/1538-7445.AM2014-3677⟩
Conference papers hal-01090883 v1

Mathematical modeling of routine biological parameters kinetics in order to predict durable benefit for first-line immunotherapy in metastatic or unresectable melanoma.

Jessica Forestier , Alice Julie Daumas , Marie-Aleth Richard , Caroline Gaudy-Marqueste , Sébastien Benzekry et al.
2024 ASCO Annual Meeting - American Society of Clinical Oncology Annual meeting 2024, Jun 2024, Chicago (USA), United States. Journal of Clinical Oncology, 42 (16_suppl), pp.e21549-e21549, 2024, ⟨10.1200/jco.2024.42.16_suppl.e21549⟩
Conference poster hal-04713615 v1

Long cell-free DNA fragments predict early-progression in patients with advanced or metastatic cancer treated with immune-checkpoint inhibition.

Sébastien Salas , Linh Nguyen Phuong , Jean-Charles Garcia , Laurent Greillier , Caroline Gaudy-Marqueste et al.
2024 ASCO annual meeting - American Society of Clinical Oncology Annual meeting 2024, May 2024, Chicago, United States. , Journal of clinical oncology, 42 (16_suppl), pp.e14550-e14550, 2024, ⟨10.1200/JCO.2024.42.16_suppl.e14550⟩
Conference poster hal-04717544 v1
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PK/PD modelling to advance the preclinical development of a novel polymer prodrug in oncology

Anne Rodallec , Randy Lee , Sophie Marolleau , Sébastien Benzekry , Julien Nicolas
CRS 2024 Annual Meeting and Expo : integrating Delivery Science across disciplines, Jul 2024, Bologna, Italy
Conference poster hal-04719303 v1

Circulating cell-free DNA size distribution as a prediction marker for early progression undergoing immune checkpoint inhibitors

Linh Nguyen Phuong , Frederic Fina , Laurent Greillier , Caroline Gaudy-Marqueste , Jean-Laurent Deville et al.
PAGE 2024 - Annual meeting of the Population Approach Group Europe, Jun 2024, Rome, Italy. ⟨10.1016/j.cell.2017.01.017⟩
Conference poster hal-04665025 v1

Long circulating-free DNA fragments predict early-progression (EP) and progression-free-survival (PFS) in advanced carcinoma treated with immune-checkpoint inhibition (ICI): a new biomarker

Sébastien Salas , Linh Nguyen Phuong , Frédéric Ginot , Laurent Greillier , Pascale Tomasini et al.
European Society for Medical Oncology Annual Meeting 2024, Sep 2024, Barcelone, Spain
Conference poster hal-04717549 v1
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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 et al.
Summer School AI4Health, Jul 2023, Paris, France
Conference poster hal-04388821 v1
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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 et al.
Department Days of the Cancer Research Cancer of Marseille, Jul 2023, Marseille, France
Conference poster hal-04388896 v1
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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 et al.
Annual meeting of the Institute of Cancer and Immunologie of Marseille, Jun 2023, Marseille, France
Conference poster hal-04388796 v1
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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 et al.
compsyscan22 : A complex systems approach to cancer understanding, Oct 2022, Lyon, France
Conference poster hal-03935786 v1
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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 et al.
Journée de la Recherche en Pharmacie, Oct 2022, Marseille, France
Conference poster hal-03935812 v1
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Population modeling of tumor growth curves and the reduced Gompertz model improve prediction of the age of experimental tumors

Anne Rodallec , Randy Lee , Sophie Marolleau , Sébastien Benzekry , Julien Nicolas
ESCDD, May 2022, Egmond aan Zee, Netherlands. 16, 2020, ⟨10.1371/journal.pcbi.1007178⟩
Conference poster hal-04726607 v1
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Hijacked senescence secretomes as 'immune primers' of antiangiogenic TKI efficacy

Melissa Dolan , Yuhao Shi , James Hill , Michalis Mastri , Cristina Vaghi et al.
AACR 2021, Apr 2021, Virtual meeting, United States. 81 (13_Supplement), pp.3195-3195, 2021, ⟨10.1158/1538-7445.AM2021-3195⟩
Conference poster hal-04571502 v1
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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
Conference poster hal-03467230 v1
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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 et al.
Colloque Sciences numériques et Intelligence Artificielle pour la Santé à Aix-Marseille Université, Nov 2021, Marseille, France. 2021
Conference poster hal-03467615 v1
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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 et al.
PAGE 2019 Twenty-eighth meeting, Jun 2019, Stockholm, Sweden
Conference poster hal-02424578 v1
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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
Conference poster hal-01968980 v1
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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⟩
Conference poster hal-01968917 v1
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Improving the efficacy of anti-cancer nanoparticles with data-driven mathematical modeling

Cristina Vaghi , Anne Rodallec , Raphaelle Fanciullino , Joseph Ciccolini , Clair Poignard et al.
Data Science Summer School, Jun 2018, Palaiseau, France
Conference poster hal-01968959 v1
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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 et al.
Population Approach Group in Europe (PAGE) Meeting 2018, May 2018, Montreux, Switzerland. 2018
Conference poster hal-01968942 v1
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Contributions in Mathematical Oncology: When Theory Meets Reality

Sébastien Benzekry
Mathematics [math]. Université de Bordeaux, 2017
Habilitation à diriger des recherches tel-01658070 v1
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Mathematical modeling of tumor and metastatic growth when treated with sunitinib

Simon Evain , Sebastien Benzekry
[Research Report] Inria Bordeaux Sud-Ouest. 2016
Reports (Research report) hal-01377994 v1
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Around a mathematical model of the concomitant tumor resistance phenomenon

Laura Lumale , Sébastien Benzekry
[Research Report] INRIA Bordeaux; Equipe MONC; INSA Toulouse. 2016
Reports (Research report) hal-01420449 v1
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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 : ⟩
Theses tel-01658210 v1