My Publications

Preprints

  1. Identifiability of heterogeneous phenotype adaptation from low-cell-count experiments and a stochastic model
    AP Browning, RM Crossley, C Villa, PK Maini, AL Jenner, T Cassidy, S Hamis
    Preprint
  2. Growth rate-driven modelling reveals how phenotypic adaptation drives drug resistance in BRAFV600E-mutant melanoma
    S Hamis, AP Browning, AL Jenner, C Villa, P Maini, T Cassidy
    Preprint
  3. Framing global structural identifiability in terms of parameter symmetries
    JG Borgqvist, AP Browning, F Ohlsson , RE Baker
    Preprint
  4. Approximate solutions of a general stochastic velocity-jump process subject to discrete-time noisy observations
    A Ceccarelli, AP Browning, RE Baker
    Preprint
  5. Reducing phenotype-structured PDE models of cancer evolution to systems of ODEs: a generalised moment dynamics approach
    C Villa, PK Maini, AP Browning, AL Jenner, S Hamis, T Cassidy
    Preprint
  6. Bayesian uncertainty quantification to identify population level vaccine hesitancy behaviours
    DJ Warne, A Varghese, AP Browning, MM Krell, C Drovandi, W Hu, A Mira, K Mengersen, AL Jenner
    Preprint
  7. Population calibration using likelihood-free Bayesian inference
    C Drovandi, B Lawson, AL Jenner, AP Browning
    Preprint

Published

  1. Smoothing in linear multicompartment biological processes subject to stochastic input
    AP Browning, AL Jenner, RE Baker, PK Maini
    Physical Review E (2024)
  2. Structural identifiability analysis of linear reaction-advection-diffusion processes in mathematical biology
    AP Browning, M Tașcă, C Falcó, RE Baker
    Proceedings of the Royal Society A (2024)
  3. Predicting radiotherapy patient outcomes with real-time clinical data using mathematical modelling
    AP Browning, TD Lewin, RE Baker, PK Maini, EG Moros, J Caudell, HM Byrne, H Enderling
    Bulletin of Mathematical Biology (2024)
  4. Real-time cell cycle imaging in a 3D cell culture model of melanoma, quantitative analysis, optical clearing, and mathematical modeling
    L Spoerri, KA Beaumont, A Anfosso, RJ Murphy, AP Browning, G Gunasingh, NK Haass
    Methods in Moleculer Biology (2024)
  5. Geometric analysis enables biological insight from complex non-identifiable models using simple surrogates
    AP Browning, MJ Simpson
    PLOS Computational Biology (2023)
  6. Efficient inference and identifiability analysis for differential equation models with random parameters
    AP Browning, C Drovandi, IW Turner, AL Jenner, MJ Simpson
    PLOS Computational Biology (2022)
  7. Rapid optical clearing for semi-high-throughput analysis of tumour spheroids
    G Gunasingh, AP Browning, NK Haass
    Journal of Visualised Experiments (2022)
  8. Identifying cell-to-cell variability in internalisation using flow cytometry
    AP Browning, N Ansari, C Drovandi, A Johnston, MJ Simpson, AL Jenner
    Journal of the Royal Society Interface (2022)
  9. Parameter estimation and uncertainty quantification using information geometry
    JA Sharp, AP Browning, K Burrage, MJ Simpson
    Journal of the Royal Society Interface (2022)
  10. A stochastic mathematical model of 4D tumour spheroids with real-time fluorescent cell cycle labelling
    JJ Klowss, AP Browning, RJ Murphy, EJ Carr, MJ Plank, G Gunasingh, NK Haass, MJ Simpson
    Journal of the Royal Society Interface (2022)
  11. Designing and interpreting 4D tumour spheroid experiments
    RJ Murphy, AP Browning, G Gunasingh, NK Haass, MJ Simpson
    Communications Biology (2022)
  12. Parameter identifiability and model selection for sigmoid population growth models
    MJ Simpson, AP Browning, DJ Warne, OJ Maclaren, RE Baker
    Journal of Theoretical Biology (2022)
  13. Quantitative analysis of tumour spheroid structure
    AP Browning, JA Sharp, RJ Murphy, G Gunasingh, B Lawson, K Burrage, NK Haass, MJ Simpson
    eLife (2021)
  14. Model-based data analysis of tissue growth in thin 3D printed scaffolds
    AP Browning, OJ Maclaren, PR Buenzli, M Lanaro, MC Allenby, MA Woodruff, MJ Simpson
    Journal of Theoretical Biology (2021)
  15. Profile likelihood analysis for a stochastic model of diffusion in heterogeneous media
    MJ Simpson, AP Browning, C Drovandi, EJ Carr, OJ Maclaren, RE Baker
    Proceedings of the Royal Society A (2021)
  16. Persistence as an optimal hedging strategy
    AP Browning, JA Sharp, T Mapder, CM Baker, K Burrage, MJ Simpson
    Biophysical Journal (2021)
  17. Identifiability analysis for stochastic differential equation models in systems biology
    AP Browning, DJ Warne, K Burrage, RE Baker, MJ Simpson
    Journal of The Royal Society Interface (2020)
  18. Designing combination therapies using multiple optimal controls
    JA Sharp, AP Browning, T Mapder, CM Baker, K Burrage, MJ Simpson
    Journal of Theoretical Biology (2020)
  19. Identifying density-dependent interactions in collective cell behaviour
    AP Browning, W Jin, MJ Plank, MJ Simpson
    Journal of the Royal Society Interface (2020)
  20. Reversible signal transmission in an active mechanical metamaterial
    AP Browning, FG Woodhouse, MJ Simpson
    Proceedings of the Royal Society A (2019)
  21. Optimal control of acute myeloid leukaemia
    J Sharp, AP Browning, T Mapder, K Burrage, MJ Simpson
    Journal of Theoretical Biology (2019)
  22. A Bayesian sequential learning framework to parameterise continuum models of melanoma invasion into human skin
    AP Browning, P Haridas, MJ Simpson
    Bulletin of Mathematical Biology (2019)
  23. Three-dimensional experiments and individual based simulations show that cell proliferation drives melanoma nest formation in human skin tissue
    P Haridas, AP Browning, J McGovern, DLS McElwain, MJ Simpson
    BMC Systems Biology (2018)
  24. Inferring parameters for a lattice-free model of cell migration and proliferation using experimental data
    AP Browning, SW McCue, RN Binny, MJ Plank, ET Shah, MJ Simpson
    Journal of Theoretical Biology (2018)
  25. A Bayesian Computational Approach to Explore the Optimal Duration of a Cell Proliferation Assay
    AP Browning, SW McCue, MJ Simpson
    Bulletin of Mathematical Biology (2017)