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 | 1133 | 2020 |
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 | 330 | 2019 |
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 | 99 | 2023 |
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 | 72 | 2021 |
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 6 (2), 229-242, 2024 | 13 | 2024 |
A large-scale and PCR-referenced vocal audio dataset for COVID-19 J Budd, K Baker, E Karoune, H Coppock, S Patel, R Payne, ... Scientific Data 11 (1), 700, 2024 | 3 | 2024 |
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 | 3 | 2022 |
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 | 1 | 2020 |
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 |