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Nanoscale Advances|September 22, 2022
Understanding nano-engineered particle-cell interactions: biological insights from mathematical modelsStuart T Johnston, Matthew Faria, Edmund J CrampinJournal of the Royal Society, Interface|July 27, 2018
An analytical approach for quantifying the influence of nanoparticle polydispersity on cellular delivered doseStuart T Johnston, Matthew Faria, Edmund J CrampinJournal of the Royal Society, Interface|May 21, 2020
Isolating the sources of heterogeneity in nano-engineered particle-cell interactionsStuart T Johnston, Matthew Faria, Edmund J CrampinPhysical Review. E|April 20, 2019
Corrected pair correlation functions for environments with obstaclesStuart T Johnston, Edmund J CrampinProceedings. Mathematical, Physical, and Engineering Sciences|August 25, 2020
Predicting population extinction in lattice-based birth-death-movement modelsStuart T Johnston, Matthew J Simpson, Edmund J CrampinJournal of Controlled Release : Official Journal of the Controlled Release Society|June 28, 2019
Revisiting cell-particle association in vitro: A quantitative method to compare particle performanceMatthew Faria, Ka Fung Noi, Qiong Dai, et al.Nanoscale|October 31, 2022
Equation learning to identify nano-engineered particle-cell interactions: an interpretable machine learning approachStuart T Johnston, Matthew FariaMathematical Biosciences|August 29, 2022
Modelling realistic 3D deformations of simple epithelia in dynamic homeostasisDomenic P J Germano, Stuart T Johnston, Edmund J Crampin, et al.Royal Society Open Science|August 1, 2025
Thermodynamically consistent, reduced models of gene regulatory networksMichael Pan, Peter J Gawthrop, Matthew Faria, et al.Journal of the Royal Society, Interface|September 16, 2025
Quantifying biological heterogeneity in nano-engineered particle-cell interaction experimentsRyan J Murphy, Matthew Faria, James M Osborne, et al.Pageof 13