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Total 4670 results found since Jan 2013.
The disappearance of respiratory syncytial virus and influenza viruses in children during the second year of the COVID-19 pandemic - are non-pharmaceutical interventions as effective as vaccines?
CONCLUSIONS: Influenza and RSV viruses disappeared during the pandemic period and rhinovirus was the second most common virus after the CoVs during and after the restriction period. Non-pharmaceutical interventions should be established as a precaution to prevent infectious diseases even after the pandemic.PMID:37140326 | DOI:10.26355/eurrev_202304_32178
Source: European Review for Medical and Pharmacological Sciences - May 4, 2023 Category: Drugs & Pharmacology Authors: F M K ışlal Y Hanil çe B Alta ş Z E B üyükbaşaran D G üven Source Type: research
A deep learning-based application for COVID-19 diagnosis on CT: The Imaging COVID-19 AI initiative
CONCLUSION: We developed a deep learning-based clinical decision support system that could become an efficient concurrent reading tool to assist clinicians, utilising a newly created European dataset including more than 2,800 CT scans.PMID:37130128 | DOI:10.1371/journal.pone.0285121
Source: Cancer Control - May 2, 2023 Category: Cancer & Oncology Authors: Laurens Topff Jos é Sánchez-García Rafael L ópez-González Ana Jim énez Pastor Jacob J Visser Merel Huisman Julien Guiot Regina G H Beets-Tan Angel Alberich-Bayarri Almudena Fuster-Matanzo Erik R Ranschaert Imaging COVID-19 AI initiative Source Type: research
Po-05-234 autonomic dysfunction after covid-19 immunization - case report
The infection caused by the SARS-CoV-2 continues affecting millions of people worldwide and vaccines to prevent the coronavirus disease (COVID-19) are considered the most promising approach for curbing the pandemic. Otherwise, cardiovascular and neurological complications associated with the vaccines were speculated and some few case reports were published.
Source: Heart Rhythm - May 1, 2023 Category: Cardiology Authors: Carolina I. Lemes, Tatiana Almeida, Mauricio I. Scanavacca, Denise T. Hachul Source Type: research
Trends in Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection and vaccine antibody prevalence in a multi-ethnic inner-city antenatal population: A cross-sectional surveillance study
CONCLUSIONS: This cross-sectional study demonstrates high rates of asymptomatic SARS-CoV-2 infection with women of black ethnic backgrounds having higher infection risk and lower vaccine uptake. SARS-CoV-2 antibody titres were highest among double-vaccinated, infected women.PMID:37113111 | DOI:10.1111/1471-0528.17508
Source: BJOG : An International Journal of Obstetrics and Gynaecology - April 28, 2023 Category: OBGYN Authors: Daria Andreeva Carolyn Gill Anna Brockbank Joanna Hejmej Fran Conti-Ramsden Katie J Doores Paul T Seed Lucilla Poston eLIXIR Partnership Source Type: research
Multi-center Integrating Radiomics, Structured Reports, and Machine Learning Algorithms for Assisted Classification of COVID-19 in Lung Computed Tomography
CONCLUSION: Integrating structured reports and radiomics promises assisted classification of COVID-19 in CT chest scans.PMID:37077697 | PMC:PMC9990550 | DOI:10.1007/s40846-023-00781-4
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Marcos A D Machado Ronnyldo R E Silva Mauro Namias Andreia S Lessa Margarida C L C Neves Carolina T A Silva Danillo M Oliveira Thamiris R Reina Arquimedes A B Lira Leandro M Almeida Cleber Zanchettin Eduardo M Netto Source Type: research
Predicting the Severity of COVID-19 from Lung CT Images Using Novel Deep Learning
CONCLUSION: The proposed model assisted in diagnosing and treating COVID-19 patients and helped improve patient outcomes.PMID:37077696 | PMC:PMC10010231 | DOI:10.1007/s40846-023-00783-2
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Ahmad Imwafak Alaiad Esraa Ahmad Mugdadi Ismail Ibrahim Hmeidi Naser Obeidat Laith Abualigah Source Type: research
Multi-center Integrating Radiomics, Structured Reports, and Machine Learning Algorithms for Assisted Classification of COVID-19 in Lung Computed Tomography
CONCLUSION: Integrating structured reports and radiomics promises assisted classification of COVID-19 in CT chest scans.PMID:37077697 | PMC:PMC9990550 | DOI:10.1007/s40846-023-00781-4
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Marcos A D Machado Ronnyldo R E Silva Mauro Namias Andreia S Lessa Margarida C L C Neves Carolina T A Silva Danillo M Oliveira Thamiris R Reina Arquimedes A B Lira Leandro M Almeida Cleber Zanchettin Eduardo M Netto Source Type: research
Predicting the Severity of COVID-19 from Lung CT Images Using Novel Deep Learning
CONCLUSION: The proposed model assisted in diagnosing and treating COVID-19 patients and helped improve patient outcomes.PMID:37077696 | PMC:PMC10010231 | DOI:10.1007/s40846-023-00783-2
Source: Journal of Medical and Biological Engineering - April 20, 2023 Category: Biomedical Engineering Authors: Ahmad Imwafak Alaiad Esraa Ahmad Mugdadi Ismail Ibrahim Hmeidi Naser Obeidat Laith Abualigah Source Type: research
