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Artificial intelligence and machine learning to fight COVID-19.
Physiol Genomics. 2020 04 01; 52(4):200-202.PG

Authors+Show Affiliations

Center for Hypertension and Precision Medicine, Program in Physiological Genomics, Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio.Center for Hypertension and Precision Medicine, Program in Physiological Genomics, Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio.Center for Hypertension and Precision Medicine, Program in Physiological Genomics, Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio.Center for Hypertension and Precision Medicine, Program in Physiological Genomics, Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio. Clinical Pharmacology, William Harvey Research Institute, National Institute of Health Research Barts Cardiovascular Biomedical Research Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.Center for Hypertension and Precision Medicine, Program in Physiological Genomics, Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio.Center for Hypertension and Precision Medicine, Program in Physiological Genomics, Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio.

Pub Type(s)

Editorial
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

32216577

Citation

Alimadadi, Ahmad, et al. "Artificial Intelligence and Machine Learning to Fight COVID-19." Physiological Genomics, vol. 52, no. 4, 2020, pp. 200-202.
Alimadadi A, Aryal S, Manandhar I, et al. Artificial intelligence and machine learning to fight COVID-19. Physiol Genomics. 2020;52(4):200-202.
Alimadadi, A., Aryal, S., Manandhar, I., Munroe, P. B., Joe, B., & Cheng, X. (2020). Artificial intelligence and machine learning to fight COVID-19. Physiological Genomics, 52(4), 200-202. https://doi.org/10.1152/physiolgenomics.00029.2020
Alimadadi A, et al. Artificial Intelligence and Machine Learning to Fight COVID-19. Physiol Genomics. 2020 04 1;52(4):200-202. PubMed PMID: 32216577.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Artificial intelligence and machine learning to fight COVID-19. AU - Alimadadi,Ahmad, AU - Aryal,Sachin, AU - Manandhar,Ishan, AU - Munroe,Patricia B, AU - Joe,Bina, AU - Cheng,Xi, Y1 - 2020/03/27/ PY - 2020/3/29/pubmed PY - 2020/4/11/medline PY - 2020/3/29/entrez KW - COVID-19 KW - SARS-CoV-2 KW - artificial intelligence KW - machine learning SP - 200 EP - 202 JF - Physiological genomics JO - Physiol Genomics VL - 52 IS - 4 SN - 1531-2267 UR - https://www.unboundmedicine.com/medline/citation/32216577/Artificial_intelligence_and_machine_learning_to_fight_COVID_19_ L2 - https://journals.physiology.org/doi/10.1152/physiolgenomics.00029.2020?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub=pubmed DB - PRIME DP - Unbound Medicine ER -