Computational Systems Biology of Cancer

The objective of the course is to promote better integration of computational approaches into biological and clinical labs and to clinics. We aim to help participants to improve interpretation and use of multi-scale data that nowadays are accumulated in any biological or medical lab. This year, the course will particularly focus on Artificial Intelligence (AI) and Machine Learning (ML) approaches in cancer research and in clinics. We will review current methods and tools for the analysis and interpretation of big data, along with concrete applications related to cancer. In particular, we will emphasize the role of AI/ML methods for understanding the heterogeneity of tumor and applications in personalized treatment schemes development.

We invited leading speakers from different fields in cancer systems biology, especially from the field of Artificial Intelligence (AI) and Machine Learning (ML) in cancer research and in clinics. The invited speakers will expose various approaches for omics, imaging, clinical data analysis and interpretation, combining signaling networks together with multi-scale data and associating it to clinical data. In addition, drug sensitivity prediction algorithms, biomarkers and cancer drivers identification; patient stratification approaches; application of mathematical modelling and image analysis in cancer with focus on AI/ML approaches will be demonstrated.

Registration site https://meetings.embo.org/event/20-cancer-ai

Please note that due to the current pandemic situation and strict regulations regarding face-to-face meetings, this will be a REAL-TIME VIRTUAL COURSE.