dc.contributor.author | Alimadadi, A | |
dc.contributor.author | Aryal, S | |
dc.contributor.author | Manandhar, I | |
dc.contributor.author | Munroe, PB | |
dc.contributor.author | Joe, B | |
dc.contributor.author | Cheng, X | |
dc.date.accessioned | 2020-06-26T14:48:37Z | |
dc.date.available | 2020-06-26T14:48:37Z | |
dc.date.issued | 2020-03-27 | |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/65267 | |
dc.language | eng | |
dc.language.iso | en | en_US |
dc.publisher | The American Physiological Society | en_US |
dc.relation.ispartof | Physiol Genomics | |
dc.subject | Artificial Intelligence | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | Machine Learning | en_US |
dc.subject | SARS-CoV-2 | en_US |
dc.title | Artificial Intelligence and Machine Learning to Fight COVID-19. | en_US |
dc.type | Article | en_US |
dc.rights.holder | Copyright © 2020, The American Physiological Society | |
dc.identifier.doi | 10.1152/physiolgenomics.00029.2020 | |
pubs.author-url | https://www.ncbi.nlm.nih.gov/pubmed/32216577 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published online | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |