Projects per year
Andrew’s research group focuses on the facilitation and acceleration of health sciences research through novel artificial intelligence and statistical data science methodology, as well as data collection and management platforms. His team works in highly multidisciplinary environments to both support and lead investigations across three strands of research: Profiling the protein and metabolite content of biological fluids and tissues using mass spectrometry proteomics and metabolomics for understanding disease mechanism, and to discover biomarkers for clinical diagnostics; Constructing secure research platforms from population-level agricultural, environmental and health data to inform policy on One Health challenges such as global food security and the transmission of anti-microbial resistance; Intensive longitudinal health, activity and behavioural monitoring at the level of individual animals and groups of animals.
1/08/18 → …
Accurate and interpretable prediction of poor health in small ruminants with accelerometers and machine learningMontout, A. X., Bhamber, R. S., Lange, D. S., Ndlovu, D. Z., Morgan, E. R., Ioannou, C. C., Terrill, T. H., Wyk, J. A. V., Burghardt, T. & Dowsey, A. W., 4 Aug 2020, (Submitted)
Research output: Other contribution
mzMLb: a future-proof raw mass spectrometry data format based on standards-compliant mzML and optimized for speed and storage requirementsBhamber, R. S., Jankevics, A., Deutsch, E. W., Jones, A. R. & Dowsey, A., 29 Oct 2020, In: Journal of Proteome Research. 12 p.
Research output: Contribution to journal › Article (Academic Journal)55 Downloads (Pure)
Gao, J., Mullan, S. M., Campbell, N. W., Dowsey, A. & Burghardt, T., 14 Oct 2020, 37 p. (arXiv).
Research output: Working paper › Working paper and PreprintsFile41 Downloads (Pure)