Speaker
Sarah C. Brüningk
(University of Bern)
Description
We will present a modelling
study to provide a longitudinal response quantification of
efficacy for single and combination therapies of 11 compounds and
radiation (at different doses). This is based on the design of a
flexible ODE model accounting for different mechanisms of cell
death/modes of action induced by the different treatments, paired
with a modelling of synergies and scheduling. We will also
motivate possible alternative combination strategies regarding
order/schedule based on these models. The results are presented
across two cell lines, with an emphasis on the modeling approach,
and motivation of a new response metric that disentangles
intrinsic efficacy from dynamic response observation.
Author
Sarah C. Brüningk
(University of Bern)
Co-authors
Ana Castro Marquez
(1. Center for AI in Radiation Oncology, Department of Radiation Oncology, Inselspital and University of Bern, Bern, Switzerland ; 2. Department of Digital Medicine, University of Bern, Bern, Switzerland)
Bettina Kritzer
(Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland)
Sandra Laternser
(Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland)
Micaela Freitas
(PreComb Therapeutics AG, Hombrechtikon, Switzerland)
Jens M. Kelm
(PreComb Therapeutics AG, Hombrechtikon, Switzerland)
Javad Nazarian
(Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland)
