Wellcome Trust ISSF: Best Practice in Mathematical Model Parametrisation for PredictiveMedicine (1516ISSFFEL9)

Jabbari, Sara (Principal Investigator)

Mathematics

Short title	Wellcome Trust ISSF: Best Practice in Mathematical Model Parametrisation for PredictiveMedicine (1516ISSFFEL9)
Status	Finished
Effective start/end date	20/06/16 → 19/08/16

Funding

Wellcome Trust

6 Article

Mathematical modelling of the vitamin C clock reaction: a study of two kinetic regimes
Alsaleh, A., Smith, D. & Jabbari, S., 17 Mar 2025, In: Royal Society Open Science. 12, 3, 25 p., 241340.
Research output: Contribution to journal › Article › peer-review

Open Access
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106 Downloads (Pure)
Mathematical model predicts anti-adhesion–antibiotic–debridement combination therapies can clear an antibiotic resistant infection
Roberts, P., Huebinger, R. M., Keen, E., Krachler, A. M. & Jabbari, S., 23 Jul 2019, In: PLoS Computational Biology. 15, 7, e1007211.
Research output: Contribution to journal › Article › peer-review

Open Access
File
7 Citations (Scopus)

238 Downloads (Pure)
Synergistic impacts of organic acids and pH on growth of Pseudomonas aeruginosa: a comparison of parametric and Bayesian non-parametric methods to model growth
Bushell, F., Tonner, P., Jabbari, S., Schmid, A. & Lund, P., 8 Jan 2019, In: Frontiers in Microbiology. 09, 3196.
Research output: Contribution to journal › Article › peer-review

Open Access
File
16 Citations (Scopus)

324 Downloads (Pure)