List of papers published in collaboration with Data Science Unit

  • Swann, O. V. et al. Studying the Long-term Impact of COVID-19 in Kids (SLICK). Healthcare use and costs in children and young people following community-acquired SARS-CoV-2 infection: protocol for an observational study using linked primary and secondary routinely collected healthcare data from England, Scotland and Wales. BMJ Open 12, e063271 (2022). doi: 10.1136/bmjopen-2022-063271

  • Fish, M. et al. Coronavirus disease 2019 subphenotypes and differential treatment response to convalescent plasma in critically ill adults: secondary analyses of a randomized clinical trial. Intensive Care Med (2022) doi:10.1007/s00134-022-06869-w

  • Wood, H. A. C. et al. Tri‐mode optical biopsy probe with fluorescence endomicroscopy, Raman spectroscopy, and time‐resolved fluorescence spectroscopy. Journal of Biophotonics (2022) doi:10.1002/jbio.202200141

  • Watmough, G.R., Hagdorn, M., Brumhead, J. et al. Using open-source data to construct 20 metre resolution maps of children’s travel time to the nearest health facility. Sci Data 9, 217 (2022). doi:10.1038/s41597-022-01274-w

  • Millar, J. E. et al. Distinct clinical symptom patterns in patients hospitalised with COVID-19 in an analysis of 59,011 patients in the ISARIC-4C study. Sci Rep 12, 6843 (2022) don:10.1038/s41598-022-08032-3.

  • Neal, I., Seth, S., Watmough, G. & Diallo, M. S. Census-independent population estimation using representation learning. Sci Rep 12, 5185 (2022) doi:10.1038/s41598-022-08935-1.

  • Jiang, Q. et al. Prediction of the performance of pre‐packed purification columns through machine learning. J of Separation Science (2022) doi:10.1002/jssc.202100864.

  • Swann, O. V. et al. Clinical characteristics of children and young people admitted to hospital with covid-19 in United Kingdom: prospective multicentre observational cohort study. BMJ m3249 (2020) doi:10.1136/bmj.m3249.

  • Boufea, K., Seth, S. & Batada, N. N. scID Uses Discriminant Analysis to Identify Transcriptionally Equivalent Cell Types across Single-Cell RNA-Seq Data with Batch Effect. iScience 23, 100914 (2020) doi:10.1016/j.isci.2020.100914.
  • Seth, S., Murray, I. & Williams, C. K. I. Model Criticism in Latent Space. Bayesian Anal. 14, 703–725 (2019) doi:10.1214/18-BA1124.
  • Seth, S., Akram, A. R., Dhaliwal, K. & Williams, C. K. I. Estimating Bacterial and Cellular Load in FCFM Imaging. Journal of Imaging 4, 11 (2018) doi:10.3390/jimaging4010011.
  • Adams, A. et al. Differentiating Individual Fluorophores from a Heterogenous Signature on a Fibre-based Time Resolved Fluorescene Spectroscopy (TRFS) System. World Molecular Imaging Congress (2022)
  • Choudhury, D. et al. Endoscopic sensing of distal lung physiology. J. Phys.: Conf. Ser. 1151, 012009 (2019) doi:10.1088/1742-6596/1151/1/012009.