Session

04.02.2019     14:30–16:00

Title:
Workshop 2: AI and Big Data in Oncology
Type:
Workshop Sessions

04.02.2019
14:30–16:00

Title:
Workshop 2: AI and Big Data in Oncology
Type:
Workshop Sessions


AI and Big Data in Oncology
Oliver Stegle (Heidelberg), Jan Korbel (Heidelberg)
This workshop will explore the importance of artificial intelligence (AI) and big data approaches in oncology. In the first part of the workshop the moderators will provide an overview of the state-of-the-art of big data computation and applications of AI to cancer research and translation. This will include the description of recent advances to collect and generate large population variation datasets in human cancers that enable to explore different dimensions of variation and disease, exemplified by the Pan-Cancer Analysis of Whole Genomes (PCAWG) Project, which brings together whole-genome sequencing data from the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA) projects, describing over 2000 tumour and matched patient control samples as well as transcriptomic data covering more than 30 cancer entities. In tandem to large data resources, we will illustrate the potential and application domains of AI-based approaches to mine omics datasets, thereby connecting DNA variation to molecular changes and disease in a model-based fashion. This will cover both “classical” machine learning methods as well as recent methods based on deep learning that address canonical problems in molecular biology and human health. Among the challenges that will be discussed are strategies for integrating large and complex molecular and cellular datasets together with clinical information to stratify patients. We will stimulate a discussion with participants to explore new frontiers in the field and opportunities by exploiting new modes of computational and data analytics.