Project-Team Monc
Members
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 Software and Platforms
CADMOS
Carcinom
MetaPoumon
Nenuphar
PapriK
SESAR
SegmentIt
New Results
Free boundary problem for cell protrusion formations: theoretical and numerical aspects
Mathematical model for transport of DNA plasmids from the external medium up to the nucleus by electroporation
Free boundary problem for cell protrusion formations: theoretical and numerical aspects
Spatial modelling of tumour drug resistance: the case of GIST liver metastases Mathematical Medicine and Biology Advance
Mathematical modeling of cancer immunotherapy and synergy with radiotherapy
Non-Standard Radiotherapy Fractionations Delay the Time to Malignant Transformation of Low-Grade Gliomas
Model-driven optimization of antiangiogenics + cytotoxics combination in breast cancer mice treated with bevacizumab and paclitaxel
Dynamics of concomitant resistance: data, theories and mathematical modeling
Modeling spontaneous metastasis following surgery: an in vivo-in silico approach
Computational Trials: Unraveling Motility Phenotypes, Progression Patterns, and Treatment Options for Glioblastoma Multiforme
Partnerships and Cooperations
National Initiatives
International Initiatives
International Research Visitors
Dissemination
Promoting Scientific Activities
Teaching - Supervision - Juries
Popularization
Bibliography
Publications of the year
Inria
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Raweb 2016
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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: New Software and Platforms
PapriK
Contact: Cynthia Perier
URL:
https://team.inria.fr/monc/software/
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