We had the opportunity to welcome nearly 70 scientists to discuss the following theme: Mathematical and computational modelling of tumour heterogeneity.
If you missed it we propose you a summary of the agenda with pictures as well as some works presented in .pdf .
Feel free to contact speakers for more informations or to initiate collaborations.
Irène BUVAT - UMR1023 Inserm- CEA- Orsay
What radiomic features can tell us regarding tumor heterogeneity in its ecosystem?
Vincent GUILLEMOT - Institut Pasteur - SABER Team- Paris
Integration of heterogeneous genomics data
Mathilde BADOUAL - Université Paris Diderot - IMNC - MSB Team- Paris
Modeling origin and natural evolution of low-grade gliomas
Yannick VIOSSAT - Université Paris-Dauphine - CEREMADE – Paris
Mathematical models of adaptive therapy
Florence HUBERT - UMR 7373 - Institut de Mathématique – Marseille
Some mathematic models of tumor growth and metastatic spreading
Fabien CRAUSTE - UMR5251 CNRS – Bordeaux
Multiscale models of cancer immunotherapy: in silico approaches
Cynthia PERIER - INRIA - Team MONC – Bordeaux
Radiomics to improve prediction of response in soft-tissue sarcomas treated by chemotherapy
Delphine SALORT - INRIA/CNRS - LCQB – Paris
Some mathematical models in cancerology from DPE
Benjamin LEMASSON - U1216 - Grenoble Institut des Neurosciences – Grenoble
MR histology: a new imaging tool to monitor intra-tumor heterogeneity
Etienne BIRMELE - Université Paris Descartes - MAP5 lab – Paris
New statistical leads for the detection of cancer subtypes markers
Eric LETOUZE - UMR1162 Inserm – Paris
Reconstructing the natural history of cancer using a single or multiple tumor samples
Thank again to the speakers and the attendees. it was a great day of multidisciplinary exchanges. See you in 2019 for our next workshops.