Your browser doesn't support javascript.
Artificial intelligence and machine learning to fight COVID-19.
Alimadadi, Ahmad; Aryal, Sachin; Manandhar, Ishan; Munroe, Patricia B; Joe, Bina; Cheng, Xi.
  • Alimadadi A; 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.
  • Aryal S; 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.
  • Manandhar I; 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.
  • Munroe PB; 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.
  • Joe B; 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.
  • Cheng X; 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.
Physiol Genomics ; 52(4): 200-202, 2020 04 01.
Article in English | MEDLINE | ID: covidwho-17759
Subject(s)
Keywords
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Artificial Intelligence / Coronavirus Infections / Pandemics / Machine Learning / Drug Development Type of study: Diagnostic study / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Physiol Genomics Journal subject: Molecular Biology Year: 2020 Document Type: Article

Similar

MEDLINE
LILACS
LIS
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Artificial Intelligence / Coronavirus Infections / Pandemics / Machine Learning / Drug Development Type of study: Diagnostic study / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Physiol Genomics Journal subject: Molecular Biology Year: 2020 Document Type: Article