Digital frukost: The genomics of breast cancer

How can genomic data and systems medicine be used in prediction tools in clinical guidelines of breast cancer?


Deadline for registration: 26 August.

Our aim is to translate systems biology approaches into medical research and practice. A central area of genomic research is the prediction of outcomes based on genomic data. Breast cancer is a prime example with prediction tools based on gene expression being included in some clinical guidelines. Using novel computational and mathematical models and methods we aim to identify these relevant predictors in the wealth of molecular data generated by us and others. Using functional analyses we intend to identify and further characterise commonly deregulated signaling and metabolic circuits, which can have predictive and/or prognostic significance. We attempt to synthesize the information acquired through these analyses into integrative model of higher rank interactions and validate this model in a systems medicine setting. A more fundamental understanding of the biological dynamics of cancer will enable us to better identify risk factors, refine cancer diagnosis, and predict therapeutic effects.

The speaker, Vessela Kristensen, leads the research group Cancer Genome Variation at the Oslo University Hospital. She has long experience in breast cancer research and has been awarded the King Olav V's Prize for Cancer Research. She is a member of the expert task force of the Centre for Digital Life Norway.

About the seminar series

"Digital Frukost" is an open breakfast seminar series focusing on research activities at the interface between the biological sciences and that of mathematics, computer science, physics, engineering or social sciences. Examples of such research activities could be mathematical or computational modeling of biological systems, application of engineering/control systems theory on biological systems or inspired by biological systems, application of mathematics/statistics/machine learning to analyse big data in health or marine sector; from sensor systems, imaging, omics technologies, policy making based on scientific models etc.

We look forward to your participation!


Marta Eide,

Published Aug. 16, 2021 10:17 PM - Last modified Aug. 17, 2021 3:18 PM