Room D229, School of Engineering of Warwick, Coventry, CV4 7AL
- Artificial Intelligence
- Medical Devices
- Health Care in LMICs
- Genomic stability and DNA replication
Positions & Responsibilities
- Doctoral Researcher in Biomedical Engineering at the Applied Biomedical Signal Processing and Intelligent eHealth (ABSPIE) lab, University of Warwick.
After completing an MSci in Natural Sciences at the University of Bath in 2016, I worked for three years as a Research Associate in the De Piccoli lab in Biomedical Sciences at the University of Warwick.
During this time, my research focused on the role of a key replication protein interaction in maintaining genomic stability. Following this, I joined the MRC DTP in Interdisciplinary Biomedical Research at Warwick.
During the MSc year I completed a 3-month project in the ABSPIE Lab focusing on the use of machine learning for the diagnosis of pneumonia. This involved a systematic review of the literature, which informed the development of an explainable, evidence based machine learning model using easily measurable patient symptoms and signs, with a view to use in low- and middle-income countries (LMICs).
My PhD will build on these skills in order to investigate how Artificial Intelligence, in combination with big-data and mobile phones, may be used to design new medical devices appropriate for use in LMICs in order to address the burden of pneumonia and cardiovascular disease in such regions.
- Stokes K, Winczura A, Song B, Piccoli GD, Grabarczyk Daniel B. Ctf18-RFC and DNA Pol ϵ form a stable leading strand polymerase/clamp loader complex required for normal and perturbed DNA replication. Nucleic Acids Research. 2020;48(14):8128-8145. doi:10.1093/nar/gkaa541
- Stokes K, Castaldo R, Franzese M, et al. A machine learning model for supporting symptom-based referral and diagnosis of bronchitis and pneumonia in limited resource settings. Biocybernetics and Biomedical Engineering 2021;41(4):1288-302. doi: https://doi.org/10.1016/j.bbe.2021.09.002
Stokes K, Peltrini R, Bracale U, et al. Enhanced Medical and Community Face Masks with Antimicrobial Properties: A Systematic Review. Journal of Clinical Medicine 2021;10(18) doi: 10.3390/jcm10184066
- Stokes K, Castaldo R, Federici C, et al. The use of artificial intelligence systems in diagnosis of pneumonia via signs and symptoms: A systematic review. Biomedical Signal Processing and Control 2022;72:103325. doi: https://doi.org/10.1016/j.bspc.2021.103325