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Publications

Mateen, B. et al. (2020) “Improving the quality of machine learning in health applications and clinical research”, Nature Machine Intelligence, 2(10), pp. 554–556.
Okell, L. et al. (2020) “Host or pathogen-related factors in COVID-19 severity? – Authors’ reply”, The Lancet, 396(10260), pp. 1397 – 1397.
Pompe, E., Holmes, C. and Łatuszyński, K. (2020) “A framework for adaptive MCMC targeting multimodal distributions”, The Annals of Statistics, 48(5), pp. 2930–2952.
Radhakrishnan, S. et al. (2020) “Rabies as a Public Health Concern in India-A Historical Perspective.”, Tropical medicine and infectious disease, 5(4), p. E162.
Charniga, K. et al. (2020) “Spatial and temporal invasion dynamics of the 2014-2017 Zika and chikungunya epidemics in Colombia”, pp. 2020.09.11.20189811 – 2020.09.11.20189811.
Investigators:, R. et al. (2020) “Resurgence of SARS-CoV-2 in England: detection by community antigen surveillance”, p. 2020.09.11.20192492.
Liu, X. et al. (2020) “Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension”, Lancet Digital Health, 2(10), pp. e537 - e548.
Cruz Rivera, S. et al. (2020) “Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension”, Lancet Digital Health, 2(10), pp. e549 - e560.
Hogan, A. et al. (2020) “Potential impact of the COVID-19 pandemic on HIV, tuberculosis, and malaria in low-income and middle-income countries: a modelling study”, The Lancet Global Health, 8(9), pp. e1132 - e1141.
Chan, A.-W. et al. (2020) “Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension”, Nature Medicine, 26(9), pp. 1364–1374.