Research Interests
- Artificial Intelligence
- Medical Devices
- Health Care in LMICs
- Genomic stability and DNA replication
Positions & Responsibilities
- Doctoral Researcher in Interdisciplinary Biomedical Research (MRC DTP)
- Parliamentary intern with the British Society for Antimicrobial Chemotherapy (BSAC) and Baroness Natalie Bennett
Biosketch
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.
Publications
- Maccaro A, Audia C, Stokes K, Masud H, Sekalala S, Pecchia L, Piaggio D. Pandemic Preparedness: A Scoping Review of Best and Worst Practices from COVID-19. Healthcare (Basel). 2023 Sep 18;11(18):2572. doi: 10.3390/healthcare11182572. PMID: 37761769; PMCID: PMC10530798.
- Cisuelo O, Stokes K, Oronti IB, et al. Development of an artificial intelligence system to identify hypoglycaemia via ECG in adults with type 1 diabetes: protocol for data collection under controlled and free-living conditions. BMJ Open. 2023;13(4):e067899. Published 2023 Apr 18. doi:10.1136/bmjopen-2022-067899
- Stokes K, Oronti B, Cappuccio FP, et al. Use of technology to prevent, detect, manage and control hypertension in sub-Saharan Africa: a systematic review. BMJ Open 2022;12(4):e058840. doi: 10.1136/bmjopen-2021-058840
- 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
- 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, 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, 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
Public interest articles
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