Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

Explore some of the Open Access research from Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Jump to: 2018 | 2016
Number of items: 3.

2018

Mulholland, Theresa and McAllister, Milly and Patek, Samantha and Flint, David and Underwood, Mark and Sim, Alexander and Edwards, Joanne and Zagnoni, Michele (2018) Drug screening of biopsy-derived spheroids using a self-generated microfluidic concentration gradient. Scientific Reports, 8. 14672. ISSN 2045-2322

Mulholland, Theresa E. and McAllister, Milly and Patek, Samantha and Flint, David and Underwood, Mark and Sim, Alexander and Edwards, Joanne and Zagnoni, Michele (2018) Drug screening of biopsy-derived multicellular spheroids using microfluidic technology. Cancer Research, 78 (13 (su). 5024. ISSN 0008-5472

2016

Christ, T. and Payne, S. and Yan, Y. and Ren, J. and Edwards, J. and Boyd, M. and Zagnoni, M.; (2016) On-chip formation of 3D spheroids for patient-derived tissue screening. In: 20th International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS 2016). Chemical and Biological Microsystems Society, IRL, pp. 577-578. ISBN 9781510834163

This list was generated on Wed Jul 8 23:37:04 2020 BST.