OSLO IN SILICO WORKSHOP 2019
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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
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
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