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 Monday 19 December 2016
A new perspective article on the use of model-driven experimentation in exploring the formation, function, and therapeutic resolution of tertiary lymphoid tissues has been accepted for publication by Frontiers in Immunology
Posted on Sunday 13 November 2016
Our latest tutorial paper on building confidence in Quantitative Systems Pharmacology models has been accepted for publication in CPT Pharmacometrics & Systems Pharmacology
Posted on Wednesday 27 January 2016
Recent Work on Biphasic Biological Models Accepted for Publishing in IEEE Journal
- 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