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Jobie Budd
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Digital technologies in the public-health response to COVID-19
J Budd, BS Miller, EM Manning, V Lampos, M Zhuang, M Edelstein, ...
Nature medicine 26 (8), 1183-1192, 2020
10542020
Taking connected mobile-health diagnostics of infectious diseases to the field
CS Wood, MR Thomas, J Budd, TP Mashamba-Thompson, K Herbst, ...
Nature 566 (7745), 467-474, 2019
3152019
Deep learning of HIV field-based rapid tests
V Turbé, C Herbst, T Mngomezulu, S Meshkinfamfard, N Dlamini, ...
Nature medicine 27 (7), 1165-1170, 2021
582021
Lateral flow test engineering and lessons learned from COVID-19
J Budd, BS Miller, NE Weckman, D Cherkaoui, D Huang, AT Decruz, ...
Nature Reviews Bioengineering 1 (1), 13-31, 2023
522023
Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers
H Coppock, G Nicholson, I Kiskin, V Koutra, K Baker, J Budd, R Payne, ...
Nature Machine Intelligence, 1-14, 2024
92024
A large-scale and PCR-referenced vocal audio dataset for COVID-19
J Budd, K Baker, E Karoune, H Coppock, S Patel, AT Cañadas, A Titcomb, ...
arXiv preprint arXiv:2212.07738, 2022
22022
Statistical design and analysis for robust machine learning: a case study from COVID-19
D Pigoli, K Baker, J Budd, L Butler, H Coppock, S Egglestone, SG Gilmour, ...
arXiv preprint arXiv:2212.08571, 2022
12022
Go local: The key to controlling the COVID-19 pandemic in the post lockdown era
I Bennett, J Budd, EM Manning, ED Manley, M Zhuang, IJ Cox, M Short, ...
arXiv preprint arXiv:2007.02603, 2020
12020
Investigating inequalities in patient outcomes for first episode psychosis
D Nicholls, J Budd, P Nunn, P French, J Smith, V Gupta, J Holdship, ...
Available at SSRN 4635268, 2023
2023
Digital technologies for the diagnosis and public health management of respiratory pathogens: lessons learned from COVID-19
JN Budd
UCL (University College London), 2023
2023
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