2022
- Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the Netherlands (International Journal of Medical Informatics, January 2022)
- Sounds of COVID-19: exploring realistic performance of audio-based digital testing (Nature Partner Journals: Digital Medicine, January 2022)
- Obesity associated with attenuated tissue immune cell responses in COVID-19 (bioRxiv, January 2022)
2021
- Comparing COVID-19 risk factors in Brazil using machine learning: the importance of socioeconomic, demographic and structural factors (Nature Scientific Reports, Aug 2021)
- Mapping the human genetic architecture of COVID-19 (Nature, July 2021)
- A paradigm shift to combat indoor respiratory infection (Science, May 2021)
2020
- How artificial intelligence and machine learning can help healthcare systems respond to COVID-19 (Machine Learning, Dec 2020)
- How can airborne transmission of COVID-19 indoors be minimised? (Environment International, Sept 2020)
- Machine learning for clinical trials in the era of COVID-19 (Statistics in Biopharmaceutical Research, Aug 2020)
- Pathogenetic profiling of COVID-19 and SARS-like viruses (Briefings in Bioinformatics, Aug 2020)
- Ethnic and regional variations in hospital mortality from COVID-19 in Brazil: a cross-sectional observational study (The Lancet, Aug 2020)
- Between-centre differences for COVID-19 ICU mortality from early data in England (Intensive Care Medicine, June 2020)
- The network effect: studying COVID-19 pathology with the Human Cell Atlas (Nature Reviews Molecular Cell Biology, June 2020)
- Modeling Social Groups, Policies and Cognitive Behavior in COVID-19 Epidemic Phases. Basic Scenarios (Substantia, June 2020)
- Forecasting Ultra-early Intensive Care Strain from COVID-19 in England, v1.1.4 (medRxiv, April 2020)
