Papers

Publications

Guler, G., Remfry, E., Kherroubi Garcia, I., Barrow, N. & Duarte, T. (2024) Grassroots and non-profit perspectives on generative AI. Joseph Roundtree Foundation, https://www.jrf.org.uk/ai-for-public-good/grassroots-and-non-profit-perspectives-on-generative-ai

Remfry, E., Ardissino, M., McCracken, C., Szabo, L., Neubauer, S., Harvey, N.C., Mamas, M.A., Robson, J., Petersen, S.E. and Raisi-Estabragh, Z., 2024. Sex-based differences in risk factors for incident myocardial infarction and stroke in the UK Biobank. European Heart Journal-Quality of Care and Clinical Outcomes, 10(2), pp.132-142.

Andersen, Z.J., Zhang, J., Jørgensen, J.T., … Remfry, E., .. Lim, Y. 2022. Long-term exposure to air pollution and mortality from dementia, psychiatric disorders, and suicide in a large pooled European cohort: ELAPSE study. Environment international, 170, p.107581.

Gold, N., Yau, A., Rigby, B., Dyke, C., Remfry, E.A. and Chadborn, T., 2021. Effectiveness of digital interventions for reducing behavioral risks of cardiovascular disease in nonclinical adult populations: systematic review of reviews. Journal of medical Internet research, 23(5), p.e19688.

Remfry, E. “The Cost of Losing Touch.” Coronatanker: Studenterperspektiver Fra En Lockdown, by Kristian Engberg, Forlaget 21:34, 2020, pp. 162–166.

Conference Papers/Posters

Remfry, E., Henkin, R., Barnes, M.R. and Naik, A., 2024. Exploring Long-Term Prediction of Type 2 Diabetes Microvascular Complications. Machine Learning for Health. arXiv preprint arXiv:2412.01331.

Remfry, E., Henkin, R., Awan, Z., Mathur, R., Barnes, M.R. and Naik, A., 2024. Exploring Fairness in Long-Term Prediction of Type 2 Diabetes Microvascular Complications. Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond. Neural Information Processing Systems.

Under review

Henkin, R.^, Remfry, E.^, Reynolds, D.J., Clinch, M. and Barnes, M.R., 2024. Investigating Collaborative Data Practices: a Case Study on Artificial Intelligence for Healthcare Research. arXiv preprint arXiv:2311.18424v2

Remfry, E., Reynolds, D.J., Morgado de Queiroz, S., Social Action for Health, Mathur, R., Barnes, M.r., Thomson, A., AI-MULTIPLY PPIE Group and the AI-MULTIPLY Consortium, 2024. Using arts-based methods to include the perspectives of underrepresented groups in the development of artificial intelligence tools in healthcare research.

^joint first author