PROGRAM

  OSLO IN SILICO WORKSHOP 2019
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Workshop Program - May 15-16 at Scandic Holmenkollen Hotel, Oslo

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Robert A Gatenby

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

Ivo Gut

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A pan-cancer view of tumor genomes

Gyan Bhanot

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A quasi birth-death model for tumor recurrence​

Alexander T. Pearson

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

Peter Van Loo

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​Molecular archaeology of cancer

Sampsa Hautaniemi

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Systems biology of drug resistance​
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Wenyi Wang

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

Haralampos Hatzikirou 

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The impact of cancer cell decision-making in tumour progression

Dominique Barbolosi

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

Rebecka Jörnsten

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

Mark Robertson-Tessi

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

Julia Casado

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Computational analysis of single-cell proteomics data in ovarian cancer

Kevin Leder

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Mathematical models for designing optimal cancer treatment schedule

Peter A. Fasching

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In silico vs clinical tumor board

Shridar Ganesan

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Monitoring clonal dynamics in the clinic

Gurinder Atwal

Jasmine Foo

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Computational biology of the tumor microenvironment and checkpoint blockade immunotherapy​
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Detecting treatment-response heterogeneity in cell populations

Alvaro Köhn-Luque

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Towards personalised computer simulations of breast cancer treatment
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