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DTSTAMP:20260619T144250Z
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DESCRIPTION:Biological mechanisms provide a link between anti cancer compou
 nds and therapy responses. Insight to biological mechanisms is central for
  tomorrow’s clinical decision support systems and personalised cancer th
 erapy. I will present the NTNU DrugLogics software that combines cancer si
 gnalling prior knowledge and data measurements to provide models that can 
 predict therapy responses. We combine in silico-generated predictions with
  in vitro observations in the PRESORT project where patient-derived cancer
  cultures are subjected to drugs and drug combinations predicted for the g
 iven patient\, to appreciate the efficacy for individual patients. Togethe
 r with Institut Curie\, Charité\, BSC\, Uppsala University and ProtAtOnce
 \, we test integrated computational and experimental pipelines on historic
  cohorts of patients treated at the molecular tumour boards at Institut Cu
 rie and Charité. Current precision medicine trials\, including the nation
 -wide trial IMPRESS-Norway\, typically rely on individual and static bioma
 rkers like DNA mutations for prediction of drug responses. For future iter
 ations of clinical decision support\, computer simulations taking in a num
 ber of data points and analyzed together\, combined with validation in pat
 ient-derived tumour samples\, will be paramount.\n\n### About the speaker\
 n\n \n\n[Dr. Åsmund Flobak](https://www.ntnu.edu/employees/asmund.flobak
 ) works in clinical oncology and research at the St Olavs University hosp
 ital and at the Norwegian University of Science and Technology. He is Proj
 ect leader for the ERA PerMed project OncoLogics and for the RCN project P
 RESORT.  \n His work combines both experiments in the wet-lab (cell lines\
 , drug screening\, xenograft experiments)\, and in the dry-lab (building l
 ogical models for drug combination response prediction\, development of a 
 pipeline in Java for drug synergy studies).  \n Dr. Flobak is the lead dev
 eloper of the DrugLogics pipeline for drug synergy and resistance predicti
 ons. The pipeline produces models tailored to single samples for drug syne
 rgy simulation and prediction.
LOCATION:\, 
SUMMARY:Computer-assisted functional precision medicine in cancer
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/computer-assisted-funct
 ional-precision-medicine-cancer
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