Describing, understanding and ultimately controlling life's processes
The research group Computational Biology develops computational models that help to obtain qualitative and quantitative knowledge of diseases, biomedical processes and structures. The computational models are developed based on a thorough understanding of systems biology modeling methods, data analysis techniques, machine learning, and parameter estimation algorithms. Topics of research are, amongst others, complex biochemical networks, diseases like metabolic syndrome, diabetes mellitus and cancer, and applied clinical data science. Next to data obtained through collaborations and partnerships with other university groups, companies and hospitals, within the Systems Biology for Oncology theme data is also achieved by own experiments. The group also puts efforts in enhancing the shift from ‘describing’ life’s processes to ‘understanding’ them and ‘capturing’ them in validated predictive models, and even ‘managing’ or ‘controlling’ them in real life. Research themes of the group are Systems Biology and Metabolic Disease, Systems Biology for Oncology, Immuno Systems Biology, and Data Science and Bioinformatics.
Research Lines
Meet some of our Researchers
Recent Publications
Our most recent peer reviewed publications
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Strengths and challenges in current lung cancer care
Lung Cancer (2024) -
A community challenge to predict clinical outcomes after immune checkpoint blockade in non-small cell lung cancer
Journal of Translational Medicine (2024) -
Agent-based modeling of the prostate tumor microenvironment uncovers spatial tumor growth constraints and immunomodulatory properties
npj Systems Biology and Applications (2024) -
Postoperative circadian patterns in wearable sensor measured heart rate
Journal of Clinical Monitoring and Computing (2024) -
Data-driven meal events detection using blood glucose response patterns
BMC Medical Informatics and Decision Making (2023)
Contact
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Visiting address
Building 15, Gemini South (room 2.106)Groene Loper5612 AZ EindhovenNetherlands -
SecretaryBME.Seccbioimage@ tue.nl