Emergence of New Disease: How Can Artificial Intelligence Help?


Journal

Trends in molecular medicine
ISSN: 1471-499X
Titre abrégé: Trends Mol Med
Pays: England
ID NLM: 100966035

Informations de publication

Date de publication:
07 2020
Historique:
received: 03 04 2020
revised: 14 04 2020
accepted: 26 04 2020
pubmed: 19 5 2020
medline: 16 7 2020
entrez: 19 5 2020
Statut: ppublish

Résumé

Emergence of new disease remains a critical parameter in human health and society. Advances in artificial intelligence (AI) allow for rapid processing and analysis of massive and complex data. In this forum article, the recent applications across disease prediction and drug development in relation to the COVID-19 pandemic are reviewed.

Identifiants

pubmed: 32418724
pii: S1471-4914(20)30125-8
doi: 10.1016/j.molmed.2020.04.007
pmc: PMC7196393
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

627-629

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Références

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Auteurs

Yurim Park (Y)

Radcliffe Department of Medicine, Medical Sciences Division, University of Oxford, Oxford, UK. Electronic address: yurim.park@st-hugh.ox.ac.uk.

Daniel Casey (D)

Innovation Faculty, Celltrion Healthcare, Slough, UK.

Indra Joshi (I)

Digital Health and Artificial Intelligence Laboratory, National Health Service, London, UK.

Jiming Zhu (J)

Vanke School of Public Health and School of Medicine, Tsinghua University, Beijing, China; Institute for Hospital Management, Tsinghua Shenzhen International Graduate School, Shenzhen, China.

Feng Cheng (F)

Vanke School of Public Health and School of Medicine, Tsinghua University, Beijing, China.

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Classifications MeSH