The severe acute respiratory syndrome coronavirus (SARS-CoV-2) causing coronavirus disease 2019 (COVID-19) is highly transmissible and has been responsible for a pandemic associated with a high number of deaths. The clinical management of patients and the optimal use of resources are two important factors in reducing this mortality, especially in scenarios of high incidence. To this end, it is necessary to develop tools that allow early triage of patients with the minimal use of diagnostic tests and based on readily accessible data, such as electronic medical records. This work proposes the use of a machine learning model that allows the prediction of mortality and risk of hospitalization using simple demographic characteristics and comorbidities, using a COVID-19 dataset of 86867 patients. In addition, we developed a new method designed to deal with data imbalance problems. The model was able to predict with high accuracy (89-93%, ROC-AUC = 0.94) the patient9s final status (expired/discharged) and with medium accuracy the risk of hospitalization (71-73%, ROC-AUC = 0.75). These models were obtained by assembling and using easily obtainable clinical characteristics (2 demographic characteristics and 19 predictors of comorbidities). The most relevant features of these models were the following patient characteristics: age, sex, number of comorbidities, osteoarthritis, obesity, depression, and renal failure.
We estimated the seroprevalence of anti-SARS-COV-2 IgG in different island groups in Okinawa and described its changes over time. A cross-sectional sero-survey was repeated in three distinct periods between July 2020 and February
The current outbreak of novel coronavirus disease 2019 (COVID-19) is already causing a serious disease burden worldwide, this paper analyzed data of a delta variant Covid-19 outbreak in Hunan, China, and proposed an optimal dose- wise dynamical vaccinating process based on local contact pattern and vaccine coverage that minimize the accumulative cases in a certain future time interval. The optimized result requires an immediate vaccination to that none vaccinated at age group 30 to 39, which is coherent to the prevailing strategies. The dose-wise optimal vaccinating process can be directive for countries or regions where vaccines are not abundant. We recommend that vaccination should be further intensified to increase the coverage of booster shots, thus effectively reducing the spread of COVID-19.
There is increasing evidence that the risk of SARS-CoV-2 infection among vaccinated individuals is variant- specific, suggesting that protective immunity against SARS-CoV-2 may differ by variant. We enrolled vaccinated (n =
We report evidence of Delta/Omicron SARS-CoV-2 co-infections during the fifth wave of COVID-19 pandemics in France for 7 immunocompetent and epidemiologically unrelated patients. These co-infections were detected by PCR assays targeting SARS-CoV-2 S-gene mutations K417N and L452R and confirmed by whole genome sequencing which allowed the proportion estimation of each subpopulation. For 2 patients, the analyses of longitudinal samples collected 7 to 11 days apart showed that Delta or Omicron can outcompete the other variant during dual infection.
Interferons (IFNs) are antiviral cytokines induced very early after SARS-CoV-2 infection and are crucial for viral clearance, shaping immunity, and preventing the development of severe COVID-19. We previously demonstrated that a single injection of peginterferon-lambda1 (PEG-IFN-λ1) accelerated viral clearance in COVID-19 patients. To determine if the rapid viral decline was mediated by enhanced immunity, we assessed in vivo responses to PEG-IFN-λ1 by single cell RNA sequencing and measured SARS-CoV-2-specific T cell and antibody responses between placebo and PEG-IFN-λ1-treated patients. PEG-IFN-λ1 treatment induced interferon stimulated genes in peripheral immune cells expressing IFNLR1, with plasmacytoid dendritic cells having the greatest response, followed by B cells. PEG-IFN-λ1 did not significantly affect SARS-CoV-2-specific antibody levels in plasma or the magnitude or functionality of virus-specific T cells. However, we identified a delayed T cell response in older adults, suggesting that PEG-IFN-λ1 can overcome the delay in adaptive immunity to accelerate viral clearance in patients most at risk for severe disease. Taken together, PEG-IFN-λ1 offers an early COVID-19 treatment option for outpatients to boost innate antiviral defenses without dampening peripheral SARS- CoV-2 adaptive immunity.
Background SARS–CoV–2 continues to spread despite fast vaccine rollout, which could be attributed to waning immunity or to a reduced protection against some variants. A thorough characterization of vaccine protection and its duration in time is needed to inform vaccination policies and enhance public trust. Methods We matched three national databases with exhaustive information on screening, vaccination and hospitalizations in France over the year 2021. We performed a two-step analysis to estimate vaccine effectiveness against severe forms of Covid-19 in people aged 50 years or over, combining: (i) a test-negative case–control design to assess vaccine effectiveness against symptomatic infections; and (ii) a survival analysis to assess the additional protection against severe outcomes (hospitalizations and inpatient deaths) in infected individuals. Results We found a high vaccine effectiveness in people aged 50 years or more, reaching 82% against symptomatic infections and 94% against severe outcomes, after a full vaccination scheme. Vaccine effectiveness against symptomatic infections strongly decreased over time, dropping to 53% after six months, but remained high against severe forms (90% after six months). The booster dose allowed restoring high protection levels. Vaccine protection and its evolution in time, showed little difference against the variants that circulated prior to December 2021 in France, including the Delta variant. Conclusion Though vaccine immunity decreases over time, vaccination remains crucial to provide individual protection against severe diseases. This decline can be reversed by the injection of a booster dose.
Contact tracing, where exposed individuals are followed up to break ongoing transmission chains, is a key pillar of outbreak response for infectious disease outbreaks. Unfortunately, these systems are not fully effective, and infections can still go undetected as people may not remember all their contacts or contacts may not be traced successfully. A large proportion of undetected infections suggests poor contact tracing and surveillance systems, which could be a potential area of improvement for a disease response. In this paper, we present a method for estimating the proportion of infections that are not detected during an outbreak. Our method uses next generation matrices that are parameterized by linked contact tracing data and case line-lists. We validate the method using simulated data from an individual-based model and then investigate two case studies: the proportion of undetected infections in the SARS-CoV-2 outbreak in New Zealand during 2020 and the Ebola epidemic in Guinea during 2014. We estimate that only 5.26% of SARS- CoV-2 infections were not detected in New Zealand during 2020 (95% credible interval: 0.243 - 16.0%) but depending on assumptions 39.0% or 37.7% of Ebola infections were not detected in Guinea (95% credible intervals: 1.69 - 87.0% or 1.7
EPIC-Peds: Study of Oral PF-07321332 (Nirmatrelvir)/Ritonavir in Nonhospitalized COVID-19 Pediatric Patients at Risk for Severe Disease - Condition: COVID-19
Interventions: Drug: nirmatrelvir; Drug: ritonavir
Sponsor: Pfizer
Not yet recruiting
Anti-inflammatory Drug Algorithm for COVID-19 Home Treatment - Condition: COVID-19
Interventions: Drug: Recommended treatment schedule; Drug: Usual care
Sponsors: Mario Negri Institute for Pharmacological Research; Family physicians
Not yet recruiting
Transcranial Direct Stimulation for Persistent Fatigue Treatment Post-COVID-19 - Condition: COVID-19
Interventions: Device: Active tDCS; Device: Sham tDCS
Sponsor: Hospital San Carlos, Madrid
Not yet recruiting
Evaluation of Full Versus Fractional Dose of COVID-19 Vaccine Given as a Booster for the Prevention of COVID 19 in Adults in Mongolia- Mongolia, Indonesia, Australia Coronavirus (MIACoV). - Condition: COVID-19
Interventions: Biological: Tozinameran - Standard Dose; Biological: Tozinameran - Fractional Dose
Sponsors: Murdoch Childrens Research Institute; Coalition for Epidemic Preparedness Innovations; PATH; The Peter Doherty Institute for Infection and Immunity
Not yet recruiting
Effect of Combined Use of Ivermectin and Colchicine in COVID-19 Patients - Condition: COVID-19
Interventions: Drug: Ivermectin + colchicine; Drug: Colchicine
Sponsor: Ain Shams University
Recruiting
Vale+ Tu Salud: Corner-Based Randomized Trial to Test a Latino Day Laborer Program Adapted to Prevent COVID 19 - Condition: COVID-19
Interventions: Behavioral: COVID-19 Group Problem Solving; Behavioral: Control Group-standard of care
Sponsors: The University of Texas Health Science Center, Houston; National Institute on Minority Health and Health Disparities (NIMHD)
Not yet recruiting
A Phase III, Randomised, Double-blind, Placebo-controlled Study to Evaluate the Safety and Efficacy of TD0069 Capsule as a Combination Regimen With Standard Treatment for Patients With Mild to Moderate COVID-19 - Condition: COVID-19
Interventions: Drug: TD0069 hard capsule; Drug: TD0069 Placebo
Sponsors: Sao Thai Duong Joint Stock Company; Clinical Training Company
Recruiting
Efficacy of the Infusion of Donor Plasma in SARS CoV 2 Infection - Condition: COVID-19
Intervention: Biological: convalescent plasma infusion covid 19
Sponsor: Hospital Galdakao-Usansolo
Terminated
Nebulised Heparin in Patients With COVID-19 Pneumonia - Condition: COVID-19 Pneumonia
Intervention: Drug: Unfractionated heparin
Sponsor: Lady Reading Hospital, Pakistan
Not yet recruiting
Nutrition and LOComotoric Rehabilitation in Long COVID-19 - Condition: COVID-19
Intervention: Other: Intervention group
Sponsors:
Universitair Ziekenhuis Brussel; Vrije Universiteit Brussel
Not yet recruiting
Immuno-bridging and Broadening Study of a Whole, Inactivated COVID-19 Vaccine BBV152 in Healthy Adults - Condition: COVID-19
Intervention: Biological: BBV152
Sponsor: Ocugen
Active, not recruiting
Reparixin as add-on Therapy to Standard of Care to Limit Disease Progression in Adult Patients With COVID-19. - Conditions: COVID-19 Pneumonia; Sars-CoV-2 Infection
Interventions: Drug: Reparixin; Other: Placebo
Sponsor: Dompé Farmaceutici S.p.A
Not yet recruiting
COVID-19 Prevention Trial: Effect of Prophylactic Use of TAFFIX™ on Infection Rate by SARS-COV-2 VIRUS (COVID-19). - Conditions: COVID-19; Upper Respiratory Tract Infections
Intervention: Device: TaffiX™
Sponsor: Nasus Pharma
Completed
A Phase III Trial to Assess the Safety and Immunogenicity of a HIPRA’s Candidate Booster Vaccination Against COVID-19. - Conditions: COVID-19; SARS-CoV-2 Acute Respiratory Disease
Intervention:
Biological: COVID-19 Vaccine 40 ug/dose
Sponsor: Hipra Scientific, S.L.U
Recruiting
An Open-label, Randomized, Parallel-arm Study Investigating the Efficacy and Safety of Intravenous Administration of Pamrevlumab Versus Standard of Care in Patients With COVID-19 - Conditions: COVID-19 Respiratory Infection; COVID-19 Pneumonia; Covid19
Intervention:
Drug: Pamrevlumab
Sponsor: Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Completed
Antiviral Effect of Selenomethionine on Porcine Deltacoronavirus in Pig Kidney Epithelial Cells - Porcine deltacoronavirus (PDCoV) is an emerging porcine intestinal coronavirus in recent years, which mainly causes different degrees of vomiting and diarrhea in piglets and has caused great harm to the swine husbandry worldwide since its report. Selenium is an essential trace element for organisms and has been demonstrated to have antiviral effects. In this study, pig kidney epithelial (LLC-PK) cells were used to study the antiviral activity of selenomethionine (Se-Met) (2, 4, 8, and 16 μM)…
Role of Dexamethasone and Methylprednisolone Corticosteroids in Coronavirus Disease 2019 Hospitalized Patients: A Review - The WHO announced coronavirus disease 2019 (COVID-19) as a pandemic disease globally on March 11, 2020, after it emerged in China. The emergence of COVID-19 has lasted over a year, and despite promising vaccine reports that have been produced, we still have a long way to go until such remedies are accessible to everyone. The immunomodulatory strategy has been kept at the top priority for the research agenda for COVID-19. Corticosteroids have been used to modulate the immune response in a wide…
Evaluation of a commercial ELISA as alternative to plaque reduction neutralization test to detect neutralizing antibodies against SARS-CoV-2 - High-throughput detection of neutralizing antibodies against SARS-CoV-2 presents a valuable tool for vaccine trials or investigations of population immunity. We evaluate the performance of the first commercial surrogate virus neutralization test (sVNT, GenScript Biotech) against SARS-CoV-2 plaque reduction neutralization test (PRNT) in convalescent and vaccinated individuals. We compare it to five other ELISAs, two of which are designed to detect neutralizing antibodies. In 491 pre-vaccination…
Association between FIASMA psychotropic medications and reduced risk of intubation or death in individuals with psychiatric disorders hospitalized for severe COVID-19: an observational multicenter study - The acid sphingomyelinase (ASM)/ceramide system may provide a useful framework for better understanding SARS-CoV-2 infection and the repurposing of psychotropic medications functionally inhibiting the acid sphingomyelinase/ceramide system (named FIASMA psychotropic medications) against COVID-19. We examined the potential usefulness of FIASMA psychotropic medications in patients with psychiatric disorders hospitalized for severe COVID-19, in an observational multicenter study conducted at Greater…
Network pharmacology-based predictions of active components and pharmacological mechanisms of Artemisia annua L. for the treatment of the novel Corona virus disease 2019 (COVID-19) - CONCLUSIONS: These findings suggest that A. annua may prevent and inhibit the inflammatory processes related to COVID-19.
HDAC inhibition as neuroprotection in COVID-19 infection - The SARS-CoV-2 virus is responsible of COVID-19 affecting millions of humans around the world. COVID-19 shows diverse clinical symptoms (fever, cough, fatigue, diarrhea, body aches, headaches, anosmia and hyposmia). Approximately 30% of the patients with COVID-19 showed neurological symptoms, these going from mild to severe manifestations including headache, dizziness, impaired consciousness, encephalopathy, anosmia, hypogeusia, hyposmia, psychology and psychiatry among others. The neurotropism…
Trace element homeostasis in the neurological system after SARS-CoV-2 infection: Insight into potential biochemical mechanisms - CONCLUSION: Trace elements play important roles in viral infections, such as helping to activate immune cells, produce antibodies, and inhibit virus replication. However, the relationship between trace elements and virus infections is complex since the specific functions of several elements remain largely undefined. Therefore, there is still a lot to be explored to understand the biochemical mechanisms involved between trace elements and viral infections, especially in the brain.
In silico analysis highlighting the prevalence of BCL2L1 gene and its correlation to miRNA in human coronavirus (HCoV) genetic makeup - The ongoing pandemic that resulted from coronavirus disease (COVID-19), which is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), had been spiraling out of control with no known antiviral drugs or vaccines. Due to the extremely serious nature of the disease, it has claimed many lives, with a mortality rate of 3.4% declared by the World Health Organization (WHO) on March 3, 2020. The aim of this study is to gain an understanding of the regulatory nature of the proteins…
Anti-inflammatory and anti-viral actions of anionic pulmonary surfactant phospholipids - Pulmonary surfactant is a mixture of lipids and proteins, consisting of 90% phospholipid, and 10% protein by weight, found predominantly in pulmonary alveoli of vertebrate lungs. Two minor components of pulmonary surfactant phospholipids, phosphatidylglycerol (PG) and phosphatidylinositol (PI), are present within the alveoli at very high concentrations, and exert anti-inflammatory effects by regulating multiple Toll like receptors (TLR2/1, TLR4, and TLR2/6) by antagonizing cognate…
ACE2-Fc fusion protein overcomes viral escape by potently neutralizing SARS-CoV-2 variants of concern - COVID-19, an infectious disease caused by the SARS-CoV-2 virus, emerged globally in early 2020 and has remained a serious public health issue. To date, although several preventative vaccines have been approved by FDA and EMA, vaccinated individuals increasingly suffer from breakthrough infections. Therapeutic antibodies may provide an alternative strategy to neutralize viral infection and treat serious cases; however, the clinical data and our experiments show that some FDA-approved monoclonal…
Rapid and Quantitative In Vitro Evaluation of SARS-CoV-2 Neutralizing Antibodies and Nanobodies - Neutralizing monoclonal antibodies and nanobodies have shown promising results as potential therapeutic agents for COVID-19. Identifying such antibodies and nanobodies requires evaluating the neutralization activity of a large number of lead molecules via biological assays, such as the virus neutralization test (VNT). These assays are typically time- consuming and demanding on-lab facilities. Here, we present a rapid and quantitative assay that evaluates the neutralizing efficacy of an antibody…
Complement Activation via the Lectin and Alternative Pathway in Patients With Severe COVID-19 - Complement plays an important role in the direct defense to pathogens, but can also activate immune cells and the release of pro-inflammatory cytokines. However, in critically ill patients with COVID-19 the immune system is inadequately activated leading to severe acute respiratory syndrome (SARS) and acute kidney injury, which is associated with higher mortality. Therefore, we characterized local complement deposition as a sign of activation in both lungs and kidneys from patients with severe…
Modulation of Innate Antiviral Immune Response by Porcine Enteric Coronavirus - Host’s innate immunity is the front-line defense against viral infections, but some viruses have evolved multiple strategies for evasion of antiviral innate immunity. The porcine enteric coronaviruses (PECs) consist of porcine epidemic diarrhea virus (PEDV), porcine deltacoronavirus (PDCoV), transmissible gastroenteritis coronavirus (TGEV), and swine acute diarrhea syndrome-coronavirus (SADS-CoV), which cause lethal diarrhea in neonatal pigs and threaten the swine industry worldwide. PECs…
Correlated sequence signatures are present within the genomic 5’UTR RNA and NSP1 protein in coronaviruses - The 5’UTR part of coronavirus genomes plays key roles in the viral replication cycle and the translation of the viral mRNAs. The first 75-80 nucleotides, also called the leader sequence, are identical for the genomic mRNA and for the subgenomic mRNAs. Recently, it was shown that cooperative actions of a 5’UTR segment and the non-structural protein NSP1 are essential for both the inhibition of host mRNAs and for specific translation of viral mRNAs. Here, sequence analyses of both the 5’UTR RNA…
SARS-CoV-2 Nsp13 encodes for an HLA-E-stabilizing peptide that abrogates inhibition of NKG2A-expressing NK cells - Natural killer (NK) cells are innate immune cells that contribute to host defense against virus infections. NK cells respond to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in vitro and are activated in patients with acute coronavirus disease 2019 (COVID-19). However, by which mechanisms NK cells detect SARS-CoV-2-infected cells remains largely unknown. Here, we show that the Non-structural protein 13 of SARS-CoV-2 encodes for a peptide that is presented by human leukocyte…
METHOD AND SYSTEM FOR IMPLEMENTING IMPROVED GENERALIZED FUZZY PEER GROUP WITH MODIFIED TRILATERAL FILTER TO REMOVE MIXED IMPULSE AND ADAPTIVE WHITE GAUSSIAN NOISE FROM COLOR IMAGES - ABSTRACTMETHOD AND SYSTEM FOR IMPLEMENTING IMPROVED GENERALIZED FUZZY PEER GROUP WITH MODIFIED TRILATERAL FILTER TO REMOVE MIXED IMPULSE AND ADAPTIVE WHITE GAUSSIAN NOISE FROM COLOR IMAGESThe present invention provides a new approach is proposed that includes fuzzy-based approach and similarity function for filtering the mixed noise. In a peer group, the similarity function was adaptive to edge information and local noise level, which was utilized for detecting the similarity among pixels. In addition, a new filtering method Modified Trilateral Filter (MTF) with Improved Generalized Fuzzy Peer Group (IGFPG) is proposed to remove mixed impulse and Adaptive White Gaussian Noise from Color Images. The modified trilateral filter includes Kikuchi algorithm and loopy belief propagation to solve the inference issues on the basis of passing local message. In this research work, the images were collected from KODAK dataset and a few real time multimedia images like Lena were also used for testing the effectiveness of the proposed methodology. - link
A STUDY ON MENTAL HEALTH, STRESS AND ANXIETY AMONG COLLEGE STUDENTS DURING COVID-19 - SARS-Cov-2 virus causes an infectious disease coronavirus(COVID-19).The Students life is made harder by COVID-19.The human reaction that happens normally to everyone through physical or emotional tension is stress. Feeling of angry, nervous and frustration caused through any thought or events leads to stress. As college closures and cancelled events, students are missing out on some of the biggest moments of their young lives as well as everyday moments like chatting with friend, participating in class and cultural programme. For students facing life changes due to the outbreak are feeling anxious, isolated and disappointed which lead them to feel all alone. We like to take the help of expert adolescent psychologist to find out the techniques to practice self-care and look after their mental health. We would like to find out whether techniques used reduce the anxiety and stress among Engineering Students. - link
A METHOD FOR THE TREATMENT OF COVID-19 INFECTIONS WITH PALMITOYLETHANOLAMIDE - - link
A CENTRAL TRANSACTION AUTHENTIC SYSTEM FOR OTP VERIFICATION - The present invention relates to a central transaction authentic system (100) for OTP verification. The system (100) comprises one or more user display units (102), one or more financial units (104), an account deposit unit (106), an OTP authentication unit (108) and a service server unit (110). The central transaction authentic system (100) for OTP verification work as Anti-money laundering measure. The system (100) also helpful for minimizing rate of cybercrime. The central transaction authentic system (100) for OTP verification that can neutralize digital financial fraud. The present invention provides a central transaction authentic system (100) for OTP verification that can monitor and analyze every transaction and customer interaction across its customer base for suspicious and potentially criminal activity. - link
FORMULATIONS AND METHOD FOR PREPARATION OF HERBAL MEDICATED TRANSPARENT SOAP - ABSTRACTFORMULATIONS AND METHOD FOR PREPARATION OF HERBAL MEDICATED TRANSPARENT SOAPThe present invention provides formulations for herbal medicated transparent soaps and method of preparation of the same. Transparent soaps are prepared by saponification of mixture of non-edible oils to get the desired consistency and cleaning action. Nonvolatile alcohols and other transparency promoters are used to get good transparency and binding properties. Herbal extracts of different herbs are added to get medicated properties. - link
SOCIAL NAVIGATION SYSTEM FOR MOBILE ROBOTS IN THE EMERGENCY DEPARTMENT TECHNOLOGY - The emergency department (ED) is a safety-critical environment in which healthcare workers (HCWs) are overburdened, overworked, and have limited resources, especially during the COVID-19 pandemic. One way to address this problem is to explore the use of robots that can support clinical teams, e.g., to deliver materials or restock supplies. However, due to EDs being overcrowded, and the cognitive overload HCWs experience, robots need to understand various levels of patient acuity so they avoid disrupting care delivery. In this invention, we introduce the Safety-Critical Deep Q-Network (SafeDQN) system, a new acuity-aware navigation system for mobile robots. SafeDQN is based on two insights about care in EDs: high-acuity patients tend to have more HCWs in attendance and those HCWs tend to move more quickly. We compared SafeDQN to three classic navigation methods, and show that it generates the safest, quickest path for mobile robots when navigating in a simulated ED environment. We hope this work encourages future exploration of social robots that work in safety-critical, human-centered environments, and ultimately help to improve patient outcomes and save lives. Figure 1. - link
A MACHINE LEARNING BASED SYSTEM FOR DETECTING OMICRON VARIANT FROM A GENOME SEQUENCE AND METHOD THEREOF - The present invention discloses a machine learning based system for detecting omicron variant from a genome sequence and method thereof. The system includes, but not limited to, a processing unit having a memory unit and a machine learning interface embedded on it for validating a variant-induced changes in the one or more condition-specific cell variables are combined to output a single numerical variant score for each of the one or more variants, the variant score computed by one of outputting the score for a fixed condition; summing the variant-induced changes across conditions; computing the maximum of the absolute variant-induced changes across conditions. - link
A SYSTEM BASED ON DEEP LEARNING FOR ANALYZING DELAYED ENHANCEMENT MAGNETIC RESONANCE IMAGING TO IDENTIFY COVID 19 AND METHOD THEREOF - The present invention discloses a system based on deep learning for analyzing delayed enhancement magnetic resonance imaging to identify COVID 19 and method thereof. The method and system include, but not limited to, a processing unit adapted to process the data based on deep learning data modelling in the magnetic resonance imaging associated with the digital image scanning system for diagnosis COVID 19 with the spatial resolution that each frame is deposited is 256 * 256, and being creating that level and vertical resolution respectively are 256 pixels (pixel), the read/write address that the read/write address of each image element, which is controlled by processing unit and forms circuit and finishes; And the data that will be stored in memory are input to a real-time microcontroller, it is characterized in that: analyze and compare by the Multi-source Information Fusion analytical system by using the real-time microcontroller to deliver the D/A changer then, digital signal is become analogue signal output. - link
用于体外诊断的新型冠状病毒核衣壳蛋白抗体 - 本发明提供了一种用于体外诊断的新型冠状病毒核衣壳蛋白抗体或抗原结合片段。所提供的抗体包括重链可变区和轻链可变区,重链可变区包括SEQ ID NO:11、12和13所示的CDR序列,轻链可变区包括SEQ ID NO:14、15和16所示的CDR序列。所提供的抗体用于新型冠状病毒的体外检测,具有极高的灵敏度和特异性。 - link
用于体外诊断的新型冠状病毒核衣壳蛋白抗体 - 本发明提供了一种用于体外诊断的新型冠状病毒核衣壳蛋白抗体或抗原结合片段。所提供的抗体包括重链可变区和轻链可变区,重链可变区包括SEQ ID NO:1、2和3所示的CDR序列,轻链可变区包括SEQ ID NO:4、5和6所示的CDR序列。所提供的抗体用于新型冠状病毒的体外检测,具有极高的灵敏度和特异性。 - link