Through leveraging our combined computational and biological knowledge, we have proven expertise supporting clients in:
(1) Tailored analysis of single-cell data that incorporates relevant biological information, including application of AI and machine learning,
(2) Studying the stochastic
Last updated on: 11-03-2024 - 13:31
Contact: Cannot be disclosed
Organisation: BioLizard
Status: History of use, Internally validated, Validated by an external party (e.g. OECD, EURL ECVAM,…)
Through leveraging our combined computational and biological knowledge, we have proven expertise supporting clients in:
(1) Evaluating and validating the potential for predictive modeling within your projects,
(2) Developing and applying machine learning techniques and other AI-based
Last updated on: 11-03-2024 - 13:31
Contact: Cannot be disclosed
Organisation: BioLizard
Status: History of use, Internally validated, Validated by an external party (e.g. OECD, EURL ECVAM,…)
Through leveraging our combined computational and biological knowledge, we have proven expertise supporting clients in:
(1) Developing and applying a range of statistical methods tailored to specific problem settings in both clinical and non-clinical datasets,
(2) Integrating multi-omics
Last updated on: 11-03-2024 - 13:30
Contact: Cannot be disclosed
Organisation: BioLizard
Status: History of use, Internally validated, Published in peer reviewed journal, Validated by an external party (e.g. OECD, EURL ECVAM,…)
We developed a cellular automata model of oncolytic virotherapy with an application to pancreatic cancer. The fundamental biomedical processes (like cell proliferation, mutation, apoptosis) are modelled by the use of probabilistic principles. The migration of injected viruses (as therapy) is
Last updated on: 07-01-2021 - 21:34
Contact: Fred Vermolen
Organisation: University of Hasselt (UHasselt), Delft University of Technology
Partners: Delft University of Technology, Technion
Status: Published in peer reviewed journal
