Combining the insight and knowledge of immunologists, engineers, computer scientists and mathematicians, the University of York's Computational Immunology Lab (YCIL) investigates complex immune processes through the development, implementation and interpretation of computer simulations.
This interdisciplinary research team employs state-of-the-art wet-lab and imaging techniques in conjunction with computational, mathematical and statistical methods to inform the design of future biological experimentation and to enhance understanding of the mechanisms of disease whilst at the same time helping to reduce the number of animals used in research.
Posted on Wednesday 27 January 2016
Recent Work on Biphasic Biological Models Accepted for Publishing in IEEE Journal
Posted on Tuesday 17 November 2015
Our paper describing the adoption of agent-based modelling in pharmacology, led by Jason Cosgrove and James Butler, has been published in CPT: Pharmacometrics & Systems Pharmacology
Posted on Tuesday 10 November 2015
Paul Kaye, Mark Coles, and Kieran Alden have been invited to present YCIL's work on Leishmania at the Host:pathogen interactions workshop: Application of Computational Methods to Leishmania and other pathogens, in Rio de Janiero
- Extending and Applying Spartan to Perform Temporal Sensitivity Analyses for Predicting Changes in Influential Biological Pathways in Computational Models. K.Alden et al
- Agent-Based Modeling in Systems Pharmacology. J.Cosgrove et al
- Suppression of AGO2 by miR-132 as a determinant of miRNA-mediated silencing in human primary endothelial cells. G.Leonov et al