Efficacious nanomedicine track toward combating COVID-19

Saved in:
Bibliographic Details
Published in:Nanotechnology Reviews Vol. 11; pp. 680 - 698
Main Authors: Mohammed Sameh A., Shaaban Esraa Ibrahim A.
Format: Journal Article
Language:Japanese
Published: Walter de Gruyter GmbH 01.01.2022
Subjects:
2019-20 coronavirus outbreak
Applications of Deep Learning in Medical Imaging
Boosting (machine learning)
Chemical technology
Computer science
Corona Virus
Coronavirus disease 2019 (COVID-19)
Coronavirus Disease 2019 Research
covid-19
Diagnostic Methods for COVID-19 Detection
Disease
FOS: Health sciences
FOS: Nanotechnology
Global health
Health Sciences
Infectious disease (medical specialty)
Infectious Diseases
Intensive care medicine
Machine learning
Materials science
Medicine
nano-based therapeutics and vaccines
nanomedical diagnostics
Nanomedicine
Nanoparticle
Nanotechnology
Nursing
Outbreak
Pandemic
Pathology
Physical and theoretical chemistry
Public health
QD450-801
Radiology, Nuclear Medicine and Imaging
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
T
Technology
TP1-1185
Virology
ISSN:2191-9097
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
ISSN:2191-9097
DOI:10.1515/ntrev-2022-0036