Projects
Advanced analytics in pharmaceutical innovation: the use of real world evidence in oncology Vlerick Business School
Computational Horizons in Cancer: Developing Meta- and Hyper-Multiscale Models and Repositories for In Silico Oncology. KU Leuven
Developing robust, reproducible, interoperable and collaborative hyper-models of diseases and normal physiology is a sine qua non necessity if rational, coherent and comprehensive exploitation of the invaluable information hidden within human multiscale biological data is envisaged. Responding to this imperative in the context of both the broad Virtual Physiological Human (VPH) initiative and the paradigmatic cancer domain, CHIC proposes the ...
Assessment of market access policies and instruments for oncology drugs. KU Leuven
Cancer is a leading cause of death worldwide and the problem is predicted to increase next years. Costs for cancer care currently present a large share of the health care budget. High priced drugs and changing demographics promise to strengthen this fact. Budget constraints limit the market access of new, innovative but expensive oncology drugs in public health systems. This project studies instruments for market access of oncology drugs and ...
Integrated Personalized & Precision Oncology Network (IPPON). University of Antwerp
Research in the field of oncology. University of Antwerp
Exploratory research into the employability of indirect calorimetry in function of nutritional advice in oncology patients in active treatment. VIVES
Real-time qPCR platform enhancing research activities within the Laboratory of Experimental Oncology and the Laboratory of Experimental Radiotherapy KU Leuven
Approaching personalized oncology with DNA methylation inference and computational epigenomics KU Leuven
Epigenomic profiles have unspent capacity for diagnostic and prognostic oncological applications. I hypothesize that computational methods to understand the key dimensions shaping tumor epigenomes – cellular heterogeneity, genome-epigenome interplay, cancer cell-of-origin and non-genetic evolution – will provide crucial personalized insights into tumor microenvironment, expression of somatic mutations, cancer emergence and progression. ...