Publications by PhD candidates

Bendayan, R. et al. (2022) ‘Mapping multimorbidity in individuals with schizophrenia and bipolar disorders: evidence from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) case register’, BMJ Open, 12(1), p. e054414. doi:10.1136/bmjopen-2021-054414.

Chaturvedi, J., Mascio, A., et al. (2021) ‘Development of a Lexicon for Pain’, Frontiers in Digital Health, 3, p. 778305. doi:10.3389/fdgth.2021.778305.

Chaturvedi, J., Sabbah, W., et al. (2021) ‘Hospital admissions for dental disorders in patients with severe mental illness in Southeast London: A register‐based cohort study’, European Journal of Oral Sciences, 129(1). doi:10.1111/eos.12752.

Dawood, T. et al. (2021) ‘Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction’, arXiv:2109.10641 [cs, eess] [Preprint]. Available at:

de Jong, V.M.T. et al. (2022) ‘Clinical prediction models for mortality in patients with covid-19: external validation and individual participant data meta-analysis’, BMJ, p. e069881.

Francis, E.R. et al. (2021) ‘Incidence of suicidality in people with depression over a 10-year period treated by a large UK mental health service provider’, BJPsych Open, 7(6), p. e223. doi:10.1192/bjo.2021.1054.

Ferrari, D. et al.. (2022) Data–driven, AI–based clinical practice: experiences, challenges, and research directions. In 30th Italian Symposium on Advanced Database Systems, SEBD 2022.

Ferrari, D. et al. (2022) Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-art. Accepted at AMIA Annual Symposium, November 2022, Washington DC

Godfrey, T. (2021) ‘Domain-Specific Modelling Languages for Participatory Agent-Based Modelling in Healthcare’, in 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Fukuoka, Japan: IEEE, pp. 654–659. doi:10.1109/MODELS-C53483.2021.00105.

Martins, D. et al. (2021) ‘Imaging transcriptomics: Convergent cellular, transcriptomic, and molecular neuroimaging signatures in the healthy adult human brain’, Cell Reports, 37(13), p. 110173. doi:10.1016/j.celrep.2021.110173.

Merrick, B. et al. (2021) ‘Real-world deployment of lateral flow SARS-CoV-2 antigen detection in the emergency department to provide rapid, accurate and safe diagnosis of COVID-19’, Infection Prevention in Practice, 3(4), p. 100186. doi:10.1016/j.infpip.2021.100186.

Mirza, L. et al. (2021) ‘Investigating the association between physical health comorbidities and disability in individuals with severe mental illness’, European Psychiatry, 64(1), p. e77. doi:10.1192/j.eurpsy.2021.2255.

Norgaard, M. et al. (2021) PET-BIDS, an extension to the brain imaging data structure for positron emission tomography. preprint. Neuroscience. doi:10.1101/2021.06.16.448390.

Pontoriero, A.D. et al. (2021) ‘Automated Data Quality Control in FDOPA brain PET Imaging using Deep Learning’, Computer Methods and Programs in Biomedicine, 208, p. 106239. doi:10.1016/j.cmpb.2021.106239.

Wang, W. et al. (2022) Real-world effectiveness of steroids in severe COVID-19: longer courses associated with lower risk of death or ICU admission. preprint. In Review. Available at: