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  • [\'Department of Surgery and Cancer, Faculty of Medicine, Imperial College, London, SW7 2AZ, UK.\', \'Department of Computing, Faculty of Engineering, Imperial College, London, SW7 2AZ, UK.\', \'Intelligify Limited, 160 Kemp House, City Road, London, EC1V 2NX, UK.\', \'Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA.\', \'Kitchen Theory, London, EN5 4LG, UK.\', \'Department of Colorectal Surgery, Royal Free Hospital, Hampstead, London, NW3 2QG, UK.\', \'Twitter, 20 Air St, London, W1B 5DL, UK.\', \'Faculty of Informatics, University of Lugano, Via Giuseppe Buffi 13, Lugano, 6900, Switzerland.\', \'Department of Surgery and Cancer, Faculty of Medicine, Imperial College, London, SW7 2AZ, UK. kirill.veselkov04@imperial.ac.uk.\', \'Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA. kirill.veselkov04@imperial.ac.uk.\']
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  • 10.1186/s40246-020-00297-x
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  • Human genomics
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  • Network machine learning maps phytochemically rich \'Hyperfoods\' to fight COVID-19.
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  • 2021

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