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Seminar

From Monday, September 25th, 2023 To Friday, September 29th, 2023
Centre de recherche - Paris - Amphithéâtre Hélène Martel-Massignac (BDD)

Computational Systems Biology of Cancer - models of data, data for models

The diversity across tumors from different patients and even across cancer cells from the same patient makes the picture very complex. The idea of ‘personalized’ or ‘precision’ medicine has been suggested, aiming to find tailored treatment regimen for each patient according to the individual genetic background and tumor molecular profile. This attempt is achievable thanks to sufficient molecular characterization of cancers accumulated using high-throughput technologies and advanced imaging technologies. However, despite availability of cancer multi-scale data, they are not fully exploited to provide the clue on deregulated mechanisms that would guide better patients stratification and to specific treatment in cancer.

 

KEYNOTE SPEAKER

Fatima AL-SHAHROUR - ES

 

SPEAKERS

Reka ALBERT - US

Ozgun BABUR - US

Valentina BOEVA - CH

Giovanni CIRIELLO - CH

Asmund FLOBAK - NO

Connie R. JIMENEZ - NL

Ina KOCH - DE

Vera PANCALDI - FR

Luca PINELLO - US

Julio SAEZ-RODRIGUEZ - DE

Oznur TASTAN – TR

Denis THIEFFRY - FR

Kim THRANE – SE

Vassily HATZIMANIKATIS - CH

Thomas WALTER - FR

Lodewijk WESSELS – NL

Hosted by

Advanced Training Office

Institut Curie

Dr. Inna Kuperstein
Project Coordinator
Cancer et génome : Bioinformatique, biostatistiques et épidémiologie des systèmes complexes (U900)

Institut Curie

Seminar suggested by Marine Poupon,
Chargée de communication

Contact

Advanced Training Office

Institut Curie

Send an e-mail

To sum up

Main topics:

Cancer

Clinical research

Prior knowledge and molecular maps

Multi-omics

Spatial transcriptomics

Imaging data

Clinical data

Data integration

Machine learning

Dynamical modelling

Statistical modelling

Network inference

Predictive models for various multi-omics data types

Treatment response prediction and prognosis