Funded by:

Workshop Program - May 15-16 at Scandic Holmenkollen Hotel, Oslo

Robert A Gatenby

​​Using evolutionary principles to delay or prevent treatment resistance in clinical cancer trials

Ivo Gut

A pan-cancer view of tumor genomes

Gyan Bhanot

A quasi birth-death model for tumor recurrence​

Alexander T. Pearson

Integrated in-vitro, in-vivo, and in-silico experiments for combination clinical oncology treatment optimization

Peter Van Loo

​Molecular archaeology of cancer

Sampsa Hautaniemi

Systems biology of drug resistance​
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Wenyi Wang

​Mutation-based expression deconvolution identifies differential transcriptional activity across cancer (sub)types

Haralampos Hatzikirou 

The impact of cancer cell decision-making in tumour progression

Dominique Barbolosi

Is there again a place for the phenomenological models in medicine?

Rebecka Jörnsten

Therapeutic targets from big data: data integration for discovery of treatments

Mark Robertson-Tessi

Challenges and opportunities for model-driven cancer therapy: from theory to practice

Julia Casado

Computational analysis of single-cell proteomics data in ovarian cancer

Kevin Leder

Mathematical models for designing optimal cancer treatment schedule

Peter A. Fasching

In silico vs clinical tumor board

Shridar Ganesan

Monitoring clonal dynamics in the clinic

Gurinder Atwal

Jasmine Foo

Computational biology of the tumor microenvironment and checkpoint blockade immunotherapy​

Detecting treatment-response heterogeneity in cell populations

Alvaro Köhn-Luque

Towards personalised computer simulations of breast cancer treatment