Ryan Armiger's research is in developing precision drug delivery systems, with a focus on closed-loop antimicrobial dosing algorithms. The aim of this work is to personalise treatment, to improve patient outcomes and help optimise the use of existing antimicrobials. A major component of this work is investigating the challenges to translating algorithms, validated on Pharmacokinetic models, into safe and effective systems for widely-varying populations in the real world.
Ryan is a Research Postgraduate in precision antimicrobial delivery under the supervision of Professor Pantelis Georgiou and Professor Alison Holmes with the National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Healthcare Associated Infections and Antimicrobial Resistance at Imperial College London in partnership with the UK Health Security Agency (previously PHE) in collaboration with, Imperial Healthcare Partners, University of Cambridge and University of Warwick.
Ryan graduated from Imperial College London in 2019 with an MEng in Electrical and Electronic Engineering. After this he worked as a Research Assistant at the Centre for Bio-Inspired Technology, developing software for clinical trials of novel diabetes management technologies, such as Artificial Pancreas systems. In 2022, he began researching methods for precision dosing of antimicrobials with the Centre for Antimicrobial Optimisation, before later beginning his PhD on the topic.
et al., 2023, Safety and efficacy of an adaptive bolus calculator for Type 1 diabetes: a randomised control cross over study, Diabetes Technology and Therapeutics, Vol:25, ISSN:1520-9156, Pages:414-425
et al., 2022, Closed-loop control of continuous piperacillin delivery: an in silico study, Frontiers in Bioengineering and Biotechnology, Vol:10, ISSN:2296-4185
et al., 2022, An In Silico Head-to-Head Comparison of the Do-It-Yourself Artificial Pancreas Loop and Bio-Inspired Artificial Pancreas Control Algorithms, Journal of Diabetes Science and Technology, Vol:16, ISSN:1932-2968, Pages:29-39
et al., 2023, PREDICTING GLUCOSE DYNAMICS AS ACTIVITY INTENSITY INCREASES IN INDIVIDUALS WITH TYPE 1 DIABETES - A SUB-ANALYSIS OF THE ABC4D STUDY, MARY ANN LIEBERT, INC, Pages:A100-A100, ISSN:1520-9156
et al., 2023, ADVANCED BOLUS CALCULATOR FOR TYPE 1 DIABETES: EVALUATION OF PARAMETER SELECTION AND ACCEPTABILITY, MARY ANN LIEBERT, INC, Pages:A101-A101, ISSN:1520-9156