Heart, Lung, Blood and Sleep Disorders
Last data update: Jun 22, 2024 . (Total: 47575 Documents since 2020)
Records 1-30 (of 124 Records) |
Query Trace: 2019-ncov[original query] |
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CDC & FDA Identify Preliminary COVID-19 Vaccine Safety Signal for Persons Aged 65 Years and Older CDC, January 13, 2023 ![]()
CDC’s Vaccine Safety Datalink (VSD) met the statistical criteria to prompt additional investigation into whether there was a safety concern for ischemic stroke in people ages 65 and older who received the Pfizer-BioNTech COVID-19 Vaccine, Bivalent. Rapid-response investigation of the signal in the VSD raised a question of whether people 65 and older who have received the Pfizer-BioNTech COVID-19 Vaccine, Bivalent were more likely to have an ischemic stroke in the 21 days following vaccination compared with days 22-42 following vaccination.
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[Clinical characteristics of patients infected with 2019-nCoV Omicron variants BA.2 and BA.5 in Xi'an city, China]. Shang F Q, et al. Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases 2022 0 0. (12) 1199-1203 ![]() ![]() |
Mass COVID-19 patient screening using UvsX and UvsY mediated DNA recombination and high throughput parallel sequencing. Palmieri Dario, et al. Scientific reports 2022 0 0. (1) 4082 ![]() |
Characteristics of patients with suspected COVID-19 pneumonia and repeatedly negative RT-PCR. Navarro-Carrera Paula, et al. Access microbiology 2022 0 0. (12) 000279 ![]() |
Evidence Used to Update the List of Underlying Medical Conditions Associated with Higher Risk for Severe COVID-19 CDC Science Brief, October 14, 2021
Chronic lung disease (including bronchiectasis, bronchopulmonary dysplasia, interstitial lung disease, pulmonary hypertension, pulmonary embolism, tuberculosis) and chronic liver disease (including cirrhosis, non-alcoholic fatty liver disease, alcoholic liver disease, and autoimmune hepatitis) were added September 2021 based on evidence published between December 1, 2019 and August 31, 2021 using the updated review methods outlined below. Mental health disorders (such as mood disorders including depression, and schizophrenia spectrum disorders) were added September 2021 based on evidence published between December 1, 2019 and August 31, 2021.
No conditions were removed from the previous underlying medical conditions list.
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Myocarditis and Pericarditis Following mRNA COVID-19 Vaccination CDC, June 23, 2021 ![]()
More than 177 million people have received at least one dose of COVID-19 vaccine in the United States, and CDC continues to monitor the safety of COVID-19 vaccines for any health problems that happen after vaccination. Since April 2021, there have been more than a thousand reports to the Vaccine Adverse Event Reporting System (VAERS) of cases of inflammation of the heart?called myocarditis and pericarditis?happening after mRNA COVID-19 vaccination in the United States. These reports are rare, given the hundreds of millions of vaccine doses administered, and have been reported after mRNA COVID-19 vaccination, particularly in adolescents and young adults.
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Maintaining proper health records improves machine learning predictions for novel 2019-nCoV Khan, Koffka et al. Research Square January 18 2021 |
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in
Chest X-rays Rajaraman, Sivaramakrishnan et al. arXiv March 05 2021 |
Maintaining proper health records improves machine learning predictions for novel 2019-nCoV. Khan Koffka, et al. BMC medical informatics and decision making 2021 0 0. (1) 172 ![]() |
An overview of molecular biology and nanotechnology based analytical methods for the detection of SARS-CoV-2: promising biotools for the rapid diagnosis of COVID-19. Kailasa Suresh Kumar, et al. The Analyst 2021 0 0. (5) 1489-1513 |
Application of Artificial Intelligence for Screening COVID-19 Patients Using Digital Images: Meta-analysis. Poly Tahmina Nasrin, et al. JMIR medical informatics 2021 3 0. ![]() |
The prediction of the lifetime of the new coronavirus in the USA using mathematical models. Selvakumar K, et al. Soft computing 2021 3 0. 1-20 ![]() ![]() |
FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection. Abdel-Basset Mohamed, et al. Knowledge-based systems 2021 1 0. 106647 ![]() |
Prediction of death status on the course of treatment in SARS-COV-2 patients with deep learning and machine learning methods. Kivrak Mehmet, et al. Computer methods and programs in biomedicine 2021 1 0. 105951 ![]() ![]() |
An extensive study on the COVID-19 pandemic, an emerging global crisis: Risks, transmission, impacts and mitigation. Parthasarathy P, et al. Journal of infection and public health 2020 12 0. (2) 249-259 ![]() ![]() ![]() ![]() ![]() ![]() |
The potential effect of the angiotensin-converting enzyme 2 (ACE2) receptor of 2019-nCoV on lung adenocarcinoma patients Huo, Qin et al. Research Square August 04 2020 |
Host and infectivity prediction of Wuhan 2019 novel coronavirus using deep learning algorithm Guo, Qian et al. bioRxiv August 22 2020 |
Isothermal Recombinase Polymerase Amplification-lateral Flow Detection of SARS-CoV-2, the Etiological Agent of COVID-19 Shelite, Thomas R et al. Research Square September 18 2020 |
The Potential Effect of the Angiotensin-Converting Enzyme 2 (ACE2) Receptor of 2019-nCoV in Lung Adenocarcinoma Patients on Age Huo, Qin et al. Research Square September 22 2020 |
The Immune Response and Immunopathology of COVID-19. Mortaz Esmaeil, et al. Frontiers in immunology 2020 0 0. 2037 |
SARS-CoV, MERS-CoV, and 2019-nCoV viruses: an overview of origin, evolution, and genetic variations. Krishnamoorthy Sarayu, et al. Virusdisease 2020 0 0. 1-13 ![]() |
Therapeutic potential of miRNAs targeting SARS-CoV-2 host cell receptor ACE2. Bozgeyik Ibrahim, et al. Meta gene 2020 0 0. 100831 |
Decoding the structure of RNA-dependent RNA-polymerase (RdRp), understanding the ancestral relationship and dispersion pattern of 2019 Wuhan Coronavirus Khan, Abbas et al. Research Square April 29 2020 |
Study on the Age of SARS-CoV-2 in Respiratory and Digestive Tract Samples: A Retrospective Study guixian-wu1,dongqin-lv*,susu-He,qian-chen,lin-ling,shaungquan-yan,xiaomai-wu,yongpo-jiang Wu, Guixian et al. Research Square April 30 2020 |
Forecasting the timeframe of 2019-nCoV and human cells interaction with reverse engineering. Sohail Ayesha, et al. Progress in biophysics and molecular biology 2020 0 0. 29-35 ![]() |
REMBRANDT: A high-throughput barcoded sequencing approach for COVID-19 screening Palmieri, Dario et al. bioRxiv May 17 2020 |
Kinetics of the humoral immune response to SARS-CoV-2: comparative analytical performance of seven commercial serology tests Herroelen, Pauline H et al. medRxiv June 12 2020 |
Genomic characterization of the 2019 novel human-pathogenic coronavirus isolated from a patient with atypical pneumonia after visiting Wuhan. Chan Jasper Fuk-Woo, et al. Emerging microbes & infections 2020 0 0. (1) 221-236 ![]() |
2019-nCoV (Wuhan virus), a novel Coronavirus: human-to-human transmission, travel-related cases, and vaccine readiness. Ralph Robyn, et al. Journal of infection in developing countries 2020 0 0. (1) 3-17 ![]() |
A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus (2019-nCoV) infected pneumonia (standard version). Jin Ying-Hui, et al. Military Medical Research 2020 0 0. (1) 4 |
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- Page last updated:Jun 21, 2024
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