Artificial Intelligence–Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development
| dc.contributor.author | Santus, Enrico |
| dc.contributor.author | Marino, Nicola |
| dc.contributor.author | Cirillo, Davide |
| dc.contributor.author | Chersoni, Emmanuele |
| dc.contributor.author | Montagud, Arnau |
| dc.contributor.author | Santuccione Chadha, Antonella |
| dc.contributor.author | Valencia, Alfonso |
| dc.contributor.author | Hughes, Kevin |
| dc.contributor.author | Lindvall, Charlotta |
| dc.contributor.other | Barcelona Supercomputing Center |
| dc.date.accessioned | 2021-03-17T13:56:28Z |
| dc.date.available | 2021-03-17T13:56:28Z |
| dc.date.issued | 2021-03 |
| dc.description.abstract | Artificial intelligence (AI) technologies can play a key role in preventing, detecting, and monitoring epidemics. In this paper, we provide an overview of the recently published literature on the COVID-19 pandemic in four strategic areas: (1) triage, diagnosis, and risk prediction; (2) drug repurposing and development; (3) pharmacogenomics and vaccines; and (4) mining of the medical literature. We highlight how AI-powered health care can enable public health systems to efficiently handle future outbreaks and improve patient outcomes. |
| dc.description.peerreviewed | Peer Reviewed |
| dc.description.sponsorship | We are deeply thankful to the Women’s Brain Project (WBP) (www.womensbrainproject.com), an international organization advocating for women’s brain and mental health through scientific research, debate, and public engagement. The authors would like to thank Maria Teresa Ferretti and Shahnaz Radjy for the helpful comments. DC, AM, and AV have received funding from the European Commission’s Horizon 2020 Program H2020-SC1-DTH-2018-1, “iPC-individualizedPaediatricCure” (ref. 826121), and H2020-ICT-2018-2, “INFORE-Interactive Extreme-Scale Analytics and Forecasting” (ref. 825070). |
| dc.description.version | Postprint (published version) |
| dc.format.extent | 12 p. |
| dc.identifier.citation | Santus, E. [et al.]. Artificial Intelligence–Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development. "Journal of Medical Internet Research", Març 2021, vol. 23, núm. 3, e22453. |
| dc.identifier.doi | 10.2196/22453 |
| dc.identifier.issn | 1438-8871 |
| dc.identifier.pmid | 33560998 |
| dc.identifier.uri | https://hdl.handle.net/2117/341874 |
| dc.language.iso | eng |
| dc.publisher | JMIR Publications |
| dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/826121/EU/individualizedPaediatricCure: Cloud-based virtual-patient models for precision paediatric oncology/iPC |
| dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/825070/EU/Interactive Extreme-Scale Analytics and Forecasting/INFORE |
| dc.relation.publisherversion | https://www.jmir.org/2021/3/e22453/ |
| dc.rights.access | Open Access |
| dc.rights.licensename | Attribution 3.0 Spain |
| dc.rights.licensename | Attribution 4.0 International (CC BY 4.0) |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ |
| dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
| dc.subject.lcsh | COVID-19 (Disease) |
| dc.subject.lcsh | Pandemics and COVID-19 |
| dc.subject.lcsh | Personalized medicine |
| dc.subject.lemac | COVID-19 (Malaltia) |
| dc.subject.lemac | Intel.ligència artificial |
| dc.subject.other | COVID-19 |
| dc.subject.other | SARS-CoV-2 |
| dc.subject.other | Artificial intelligence |
| dc.subject.other | Personalized medicine |
| dc.subject.other | Precision medicine |
| dc.subject.other | Prevention |
| dc.subject.other | Monitoring |
| dc.subject.other | Epidemic |
| dc.subject.other | Literature |
| dc.subject.other | Public health |
| dc.subject.other | Pandemic |
| dc.title | Artificial Intelligence–Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development |
| dc.type | Article |
| dspace.entity.type | Publication |
| local.citation.number | 3 |
| local.citation.other | e22453 |
| local.citation.publicationName | Journal of Medical Internet Research |
| local.citation.volume | 23 |
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