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.
The objective of the course is to promote better use of computational approaches into biological labs and to clinics. We aim to help participants to improve interpretation of various types of data accumulated in the labs using multi-modal data integration approaches.
Predictive models for various multi-omics data types
Treatment response prediction and prognosis
Partners and Sponsors
- Acceptance Notification
5 August 2022
- Application Closing
30 July 2022