Estimate false‐negative RT‐PCR rates for SARS‐CoV‐2. A systematic review and meta‐analysis
Background Molecular‐based tests used to identify symptomatic or asymptomatic patients
infected by SARS‐CoV‐2 are characterized by high specificity but scarce sensitivity …
infected by SARS‐CoV‐2 are characterized by high specificity but scarce sensitivity …
Evaluation and comparison of serological methods for COVID-19 diagnosis
F Gong, H Wei, Q Li, L Liu, B Li - Frontiers in Molecular Biosciences, 2021 - frontiersin.org
The worldwide pandemic of COVID-19 has become a global public health crisis. Various
clinical diagnosis methods have been developed to distinguish COVID-19–infected patients …
clinical diagnosis methods have been developed to distinguish COVID-19–infected patients …
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening
As patient health information is highly regulated due to privacy concerns, most machine
learning (ML)-based healthcare studies are unable to test on external patient cohorts …
learning (ML)-based healthcare studies are unable to test on external patient cohorts …
Clinlabomics: leveraging clinical laboratory data by data mining strategies
X Wen, P Leng, J Wang, G Yang, R Zu, X Jia… - BMC …, 2022 - Springer
The recent global focus on big data in medicine has been associated with the rise of artificial
intelligence (AI) in diagnosis and decision-making following recent advances in computer …
intelligence (AI) in diagnosis and decision-making following recent advances in computer …
Metal–organic framework-based biosensing platforms for the sensitive determination of trace elements and heavy metals: a comprehensive review
Heavy metals in food and water sources are potentially harmful to humans. Determination of
these pollutants is critical for improving safety. Effective recognition systems are a …
these pollutants is critical for improving safety. Effective recognition systems are a …
[HTML][HTML] Comparing saliva and nasopharyngeal swab specimens in the detection of COVID-19: A systematic review and meta-analysis
K Nasiri, A Dimitrova - Journal of Dental Sciences, 2021 - Elsevier
Background/purpose Due to the easy transmission of COVID-19, the virus is a threat to
global health. Early diagnosis of suspected patients will play an essential role in preventing …
global health. Early diagnosis of suspected patients will play an essential role in preventing …
[HTML][HTML] Pay attention to the speech: COVID-19 diagnosis using machine learning and crowdsourced respiratory and speech recordings
M Aly, KH Rahouma, SM Ramzy - Alexandria Engineering Journal, 2022 - Elsevier
Since the outbreak of COVID-19, many efforts have been made to utilize the respiratory
sounds and coughs collected by smartphones for training Machine Learning models to …
sounds and coughs collected by smartphones for training Machine Learning models to …
Supervised learning models for the preliminary detection of COVID-19 in patients using demographic and epidemiological parameters
The World Health Organization labelled the new COVID-19 breakout a public health crisis of
worldwide concern on 30 January 2020, and it was named the new global pandemic in …
worldwide concern on 30 January 2020, and it was named the new global pandemic in …
Convalescent serum-derived exosomes: Attractive niche as COVID-19 diagnostic tool and vehicle for mRNA delivery
A Krishnan, P Gangadaran… - Experimental …, 2022 - journals.sagepub.com
The spread of SARS-CoV-2 over the entire world is more commonly known as COVID-19.
COVID-19 has impacted society in every aspect of routine life. SARS-CoV-2 infection is often …
COVID-19 has impacted society in every aspect of routine life. SARS-CoV-2 infection is often …
The 2021 SIIM-FISABIO-RSNA machine learning COVID-19 challenge: Annotation and standard exam classification of COVID-19 chest radiographs
We describe the curation, annotation methodology, and characteristics of the dataset used in
an artificial intelligence challenge for detection and localization of COVID-19 on chest …
an artificial intelligence challenge for detection and localization of COVID-19 on chest …