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Last updated: 2021 Sep 7
Total hit(s): 6828
Rational engineering the DNA tetrahedrons of dual wavelength ratiometric electrochemiluminescence biosensor for high efficient detection of SARS-CoV-2 RdRp gene by using entropy-driven and bipedal DNA walker amplification strategy
A dual-wavelength ratiometric electrochemiluminescence (ECL) biosensor based on entropy-driven and bipedal DNA walker cycle amplification strategies for detection of the RNA-dependent RNA polymerase (RdRp) gene of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Chem Eng J
2022 Jan 1
New-Generation Quantitative Immunoassays for SARS-CoV-2 Antibody Detection: Need for Harmonization
Department of Immunology and Allergy, S. Maria degli Angeli Hospital, Pordenone, Italy. The hospital is located in the city of Pordanone, which has a history of immunology and allergy patients. Patients were treated at the hospital for life-threatening conditions.
Ann Lab Med
2022 Jan 1
Performance Comparison of Five SARS-CoV-2 Antibody Assays for Seroprevalence Studies
Seroprevalence studies of coronavirus disease 2019 (COVID-19) cases are important to estimate the scale of the outbreak and establish quarantine measures. We evaluated clinical performance of SARS-CoV-2 antibody assays available in Korea. The sensitivity, specificity, cross-reactivity, and interference tests were evaluated using the following: 398 serum samples from confirmed patients, 510 negative control samples from before 2018 (pre-pandemic)
Ann Lab Med
2022 Jan 1
Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays
The year 2020 was characterized by the COVID-19 pandemic that has caused, by the end of March 2021, more than 2.5 million deaths worldwide. Since the beginning, besides the laboratory test, used as the gold standard, many applications have been applying deep learning algorithms to chest X-ray images to recognize patients. A wide set of experiments on several publicly available datasets, accounting for more than 92,000 images, shows that the proposed approach provides average recognition rates up to 93.54% when tested on external datasets.
Repeatedly negative PCR results in patients with COVID-19 symptoms: Do they have SARS-CoV-2 infection or not?
Identify possible infection with SARS-CoV-2 in symptomatic patients.Understand the inclusion criteria for SARS-CoV-2 in symptomatic patients.Determine whether or not to test negative by nasopharyngeal swab PCR.
Epidemiol Mikrobiol Imunol
Hypocalcemia in Covid-19: A Prognostic Marker for Severe Disease
Identify the electrolyte abnormalities in COVID-19 patients.Compare the electrolytes, albumin, liver enzymes, and parathyroid hormone (PTH).Determine the severity of the infection.
Iran J Pathol
Wavelet and deep learning-based detection of SARS-nCoV from thoracic X-ray images for rapid and efficient testing
The proposed research uses a wavelet-based convolution neural network architecture to detect SARS-nCoV. CNN is pre-trained on the ImageNet and trained end-to-end using thoracic X-ray images. It was observed that the Symlet 7 approximation component with two-level manifested the highest test accuracy of 98.87%.
Expert Syst Appl
2021 Dec 15
Clinical utility of novel biosensing platform: Diagnosis of coronavirus SARS-CoV-2 at point of care
An efficient, rapid, selective, specific, and inexpensive SARS-CoV-2 diagnostic method is the need of the hour. Scientists continue to strive to create enhanced technology while continually developing nanomaterial-enabled biosensing methods that can provide new methodologies. The reverse transcription-polymerase polymerase chain reaction (RT-PCR) technology is massively utilized to detect infection with SARS.
2021 Dec 1
A pan-coronavirus RT-PCR assay for rapid viral screening of animal, human, and environmental specimens
Use a new pan-species coronavirus molecular assay.Use the pan-CoV RT-PCR assay.
Deep transfer learning for COVID-19 detection and infection localization with superpixel based segmentation
The novel corona virus disease (COVID-19) as a pandemic has inflicted several thousand deaths per day endangering the lives of millions of people across the globe. Chest X-ray images are found to be less sensitive compared to Chest CT images in detecting infections in the early stages. In this paper, we propose a deep learning based framework to enhance the diagnostic values of these images for improved clinical outcomes.
Sustain Cities Soc
Changes in serum virus-specific IgM/IgG antibody in asymptomatic and discharged patients with reoccurring positive COVID-19 nucleic acid test (RPNAT)
Analyze the IgM/IgG changes in patients with reoccurring positive nucleic acid test (RPNAT).Analyze the median IgM and IgG levels of the RPNAT group at the time of discharge.Determine the level of serum SARS-CoV-2 specific IgG antibody levels during hospitalisation.
COVID-19-associated cytokine storm syndrome and diagnostic principles: an old and new Issue
Understand the onset of fatal cytokine storm syndrome (SARS-CoV-2).Understand the pathogenesis of HLH/CSS.Learn about the evolution of CSS classifications and cytokines associated with CSS.
Emerg Microbes Infect
First detection of an Italian human-to-cat outbreak of SARS-CoV-2 Alpha variant - lineage B.1.1.7
The emergence of new SARS-CoV-2 variants pose a threat to both human and animal health and may conceal unknown risks. This report describes an Italian human-to-cat outbreak of the Alpha variant B.1.7 (the Alpha variant) On March 7th, 2021, approximately ten days after COVID-19 appeared in the family, the onset of respiratory signs in a cat by owners led to an in-depth diagnostic investigation. In addition, based on comparative analysis of genome sequences from our study and from 200 random Italian cases of Alpha variant, the familial cluster was confirmed.
New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis
Examine Chest X-Rays (CXR).Examine deep features.Remove the feature map normalization step and add the deep features normalization step on the raw feature maps.Use the BoVW method to diagnose COVID-19 from other Pneumonia-related infections.
Health Inf Sci Syst
SARS-CoV-2 antibodies seroprevalence in dogs from France using ELISA and an automated western blotting assay
Epidemiological surveillance of SARS-CoV-2 in dogs requires testing to distinguish it from other canine coronaviruses. Using ELISA, seroprevalence was significantly higher during the pandemic [5.5% (25/453)], than during the pre-pandemic period [1.1% (5/449)]. Among the 218 dogs sampled twice, at least 8 ELISA-seroconversions were observed.
COVID-19 infection map generation and detection from chest X-ray images
Use Deep Learning techniques for COVID-19 diagnosis.Use CXR images to localize COVID-19 infection.Use the ground-truth segmentation masks on CXRs.
Health Inf Sci Syst
Is there still a role for digital rectal examination in the prostate cancer diagnostic pathway in the COVID-19 and post COVID-19 era?
An abnormal DRE or a raised prostate specific antigen (PSA) level are part of the criteria for primary care referral to secondary care due to a suspicion of prostate cancer. The current Coronavirus-19 (COVID-19) pandemic has resulted in the rapid adoption of virtual consultations in the form of telephone or video consultations making clinical examination difficult.
Evaluation of a multi-species SARS-CoV-2 surrogate virus neutralization test
" A recently developed assay, the surrogate virus-neutralization test (sVNT) is a quick and commercially available alternative to the ""gold standard"" virus neutralization test using authentic virus. The sVNT relies on the inhibition of binding of the receptor binding domain (RBD) on the spike (S) protein to human angiotensin-converting enzyme 2 (hACE2) by antibodies present in sera."
Human ACE2-Functionalized Gold ""Virus-Trap"" Nanostructures for Accurate Capture of SARS-CoV-2 and Single-Virus SERS Detection
"Use a SERS biosensor to detect S-protein expressed coronavirus.Determine the identification standard for future unknown coronavirus.Use a human Angiotensin-converting-enzyme 2 (ACE2)-functionalized gold ""virus traps"" nanostructure to detect S-protein expressed coronavirus."
Multiple detection and spread of novel strains of the SARS-CoV-2 B.1.177 (B.1.177.75) lineage that test negative by a commercially available nucleocapsid gene real-time RT-PCR
Study the SARS-CoV-2 lineage in Abruzzo region (central Italy).Select a nucleotide sequence for the N-negative B.1.177.75 strains.Consider genetic comparison.
Emerg Microbes Infect
Trichodynia and telogen effluvium in COVID-19 patients: Results of an international expert opinion survey on diagnosis and management
The cutaneous manifestations of COVID-19 may be useful disease markers and prognostic indicators. Recently, postinfectious telogen effluvium and trichodynia have also been reported. In majority (62.5%) of the patients, the hair signs and symptoms started within the first month after diagnosis.
Hematological and biochemical parameters as diagnostic and prognostic markers in SARS-COV-2 infected patients of Pakistan: a retrospective comparative analysis
The data on hematological abnormalities associated with the Pakistani COVID-19 patients is limited. Of 317 admitted cases, the majority were males n = 198 (62.5%) Associated comorbidities, lower lymphocytes, platelets, and higher White blood cells, neutrophil, Neurophil-to-lymphocyte ratio (NLR), PLR) and platelet-to.-lymphocy ratio (PLR) were found in COV-19 cases as compared to healthy controls. Ferritin, D-Dimer, CRP, IL-6, LDH, ALT, AST, and APTT also showed a statistically significant difference compared with standard values (p < 0.001 for all)
A case of peritoneal dialysis in which SARS-CoV-2 was diagnosed by sudden hearing loss
A preliminary analysis of AI based smartphone application for diagnosis of COVID-19 using chest X-ray images
Identify the positive cases of COVID-19.Use Artificial Intelligence (AI) and chest X-ray images to train five pre-trained Convolutional Neural Network models.Understand that VGG16 and VGG16 are best performing models.
Expert Syst Appl
2021 Nov 30
Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: A case study in the capitals of Brazil
Understand the impact of human mobility on COVID-19 transmission.Understand the correlation between COVID-19 cases and human mobility.Use EEMD-ARIMAX to predict the number of COVID-19 cases in all Brazilian capitals.
Expert Syst Appl
2021 Nov 15