Project-Team Monc
Personnel
Overall Objectives
Objectives
General strategy
Research Program
Introduction
Axis 1: Tumor modeling for patient-specific simulations
Axis 2: Bio-physical modeling for personalized therapies
Axis 3: Quantitative cancer modeling for biological and preclinical studies
Application Domains
Tumor growth monitoring and therapeutic evaluation
Biophysical therapies
In-vitro and animals experimentations in oncology
Highlights of the Year
New Results
Mathematical modeling of tumor-tumor distant interactions supports a systemic control of tumor growth
Precision of manual two-dimensional segmentations of lung and liver metastases and its impact on tumour response assessment using RECIST 1.1
Dose- and time-dependence of the host-mediated response to paclitaxel therapy: a mathematical modeling approach
Tumor growth model of ductal carcinoma: from in situ phase to stroma invasion
Superconvergent second order Cartesian method for solving free boundary problem for invadopodia formation
A Voronoi Interface approach to cell aggregate electropermeabilization
Revisiting bevacizumab + cytotoxics scheduling using mathematical modeling: proof of concept study in experimental non-small cell lung carcinoma
Bilateral Contracts and Grants with Industry
Bilateral Contracts with Industry
Partnerships and Cooperations
National Initiatives
European Initiatives
International Initiatives
Dissemination
Promoting Scientific Activities
Teaching - Supervision - Juries
Popularization
Bibliography
Major publications
Publications of the year
Inria
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Raweb 2017
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Presentation of the Project-Team MONC
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MONC Web Site
PDF
e-Pub
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Section: Bilateral Contracts and Grants with Industry
Bilateral Contracts with Industry
Research contract between Roche and Monc team.
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