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