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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

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

Longitudinal analyses using < sup > 18 < /sup > F-Fluorodeoxyglucose positron emission tomography with computed tomography as a measure of COVID-19 severity in the aged, young, and humanized ACE2 SARS-CoV-2 hamster models
This study compared disease progression of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in three different models of golden hamsters: aged (≈60 weeks old) wild-type (WT), young (6 weeks old) WT, and adult (14-22 weeks old) hamsters expressing the human-angiotensin-converting enzyme 2 (hACE2) receptor. After intranasal (IN) exposure to the SARS-CoV-2 Washington isolate (WA01/2020), 2-deoxy-2-[fluorine-18]fluoro-D-glucose positron emission tomography with computed tomography (18F-FDG PET/CT) was used to monitor disease progression in near real-time and animals were euthanized at pre-determined time points t...
Source: Antiviral Research - April 17, 2023 Category: Virology Authors: Yu Cong Ji Hyun Lee Donna L Perry Kurt Cooper Hui Wang Saurabh Dixit David X Liu Irwin M Feuerstein Jeffrey Solomon Christopher Bartos Jurgen Seidel Dima A Hammoud Ricky Adams Scott M Anthony Janie Liang Nicolette Schuko Rong Li Yanan Liu Zhongde Wang E B Source Type: research

News at a glance: New U.S. coronavirus research, lab gear ’s carbon cost, and a repurposed accelerator
MATERIALS SCIENCE Storied accelerator to test chips The world’s first superconducting cyclotron will receive a new lease on life testing next-generation microchips, Michigan State University’s Facility for Rare Isotope Beams (FRIB) announced last week. From 1982 to 2020, the K-500 cyclotron produced beams of atomic nuclei ranging from hydrogen to uranium for experiments in nuclear physics, relying on superconducting magnets to confine the particles. Last year, the cyclotron was replaced by FRIB’s new, more powerful, $730 million linear accelerator. Typically, old particle accelerators are demolished or...
Source: Science of Aging Knowledge Environment - April 13, 2023 Category: Geriatrics Source Type: research

The importance of occupation in the development of the COVID-19 pandemic
In the past three years, we have witnessed the devastating effects of the COVID-19 pandemic, with unprecedented challenges to all aspects of human life worldwide. In the workforce, it rapidly became clear that workers in some jobs were more likely to suffer adverse consequences for morbidity and mortality. In our earlier editorials in the Scandinavian Journal of Work Environment and Health, we reviewed emerging evidence, suggesting that well-established socio-economic health inequalities intermingled with occupational risk factors, making it difficult to target the conditions at work that contributed to the transmission of...
Source: Scandinavian Journal of Work, Environment and Health - April 12, 2023 Category: Occupational Health Tags: Editorial Source Type: research

COVID-19 burden and influencing factors in Swiss long-term-care facilities: a cross-sectional analysis of a multicentre observational cohort
CONCLUSION AND IMPLICATIONS: COVID-19 burden was high but also highly variable in Swiss long-term care facilities. severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection among healthcare workers was a modifiable factor associated with increased resident mortality. Symptom screening of healthcare workers appeared to be an effective preventive strategy and should be included in routine infection prevention and control measures. Promoting COVID-19 vaccine uptake among healthcare workers should be a priority in Swiss long-term care facilities.PMID:37011609 | DOI:10.57187/smw.2023.40052
Source: Swiss Medical Weekly - April 3, 2023 Category: General Medicine Authors: Giulia Scanferla Delphine H équet Nicole Graf Thomas M ünzer Simone Kessler Philipp Kohler Andres Nussbaumer Christiane Petignat Matthias Schlegel Domenica Flury Source Type: research