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Published in 2022 at "International Journal of Cancer"
DOI: 10.1002/ijc.33934
Abstract: Cancer is a significant cause of morbidity and mortality after solid organ transplantation (SOT) and related to lifelong immunosuppression. This retrospective registry study assessed for the first time in Finland population‐based cancer risk and cancer…
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Keywords:
sir;
mortality solid;
solid organ;
mortality ... See more keywords
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Published in 2021 at "Mathematical Methods in the Applied Sciences"
DOI: 10.1002/mma.7655
Abstract: The first case of COVID-19 in India detected on January 30, 2020, after its emergence in Wuhan, China, in December 2019. The lockdown was imposed as anemergency measure by the Indian government to prevent the…
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Keywords:
sir model;
fractional sir;
sir;
model ... See more keywords
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Published in 2020 at "Journal of Pharmacokinetics and Pharmacodynamics"
DOI: 10.1007/s10928-020-09682-4
Abstract: Assessing parameter uncertainty is a crucial step in pharmacometric workflows. Small datasets with ten or fewer subjects appear regularly in drug development and therapeutic use, but it is unclear which method to assess parameter uncertainty…
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Keywords:
parameter uncertainty;
sir;
llp sir;
uncertainty small ... See more keywords
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Published in 2019 at "International Journal of Dynamics and Control"
DOI: 10.1007/s40435-019-00553-6
Abstract: In this paper, two types of distributed control functions, vaccine and treatment have been applied to a spatiotemporal SIR model with no-flux boundary conditions. The spatiotemporal SIR epidemic model is formulated from existing SIR epidemic…
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Keywords:
system;
control pair;
control;
sir ... See more keywords
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Published in 2020 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2020.01.014
Abstract: Selective inversion recovery (SIR) is a quantitative magnetization transfer (qMT) method that provides estimates of parameters related to myelin content in white matter, namely the macromolecular pool-size-ratio (PSR) and the spin-lattice relaxation rate of the…
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Keywords:
selective inversion;
sir;
sir tfe;
brain ... See more keywords
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Published in 2017 at "Safety and Health at Work"
DOI: 10.1016/j.shaw.2016.11.003
Abstract: Background We assessed the cancer risks of four different Finnish asbestos-exposed cohorts. We also explored if the cohorts with varying profiles of asbestos exposure exhibited varying relative risks of cancer. Methods The incident cancer cases…
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Keywords:
asbestos exposure;
sir;
cancer;
asbestos ... See more keywords
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Published in 2017 at "Gynecologic oncology"
DOI: 10.1016/j.ygyno.2016.11.048
Abstract: OBJECTIVE Women exposed to diethylstilbestrol in utero (DES) have an increased risk of clear cell adenocarcinoma (CCA) of the vagina and cervix, while their risk of non-CCA invasive cervical cancer is still unclear. METHODS We…
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Keywords:
des daughters;
risk;
sir;
cervix ... See more keywords
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Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-022-08992-6
Abstract: We deal in this paper with a diffusive SIR epidemic model described by reaction–diffusion equations involving a fractional derivative. The existence and uniqueness of the solution are shown, next to the boundedness of the solution.…
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Keywords:
usepackage;
model;
minimal usepackage;
sir ... See more keywords
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Published in 2021 at "Scandinavian Journal of Rheumatology"
DOI: 10.1080/03009742.2020.1804612
Abstract: Objective: To estimate the incidence of cancer among patients with ankylosing spondylitis (AS) and compare this risk with that of the general population. Method: We obtained data from Taiwan’s National Health Insurance database on 19…
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Keywords:
risk;
ankylosing spondylitis;
sir;
patients ankylosing ... See more keywords
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Published in 2019 at "Modern Rheumatology"
DOI: 10.1080/14397595.2019.1660041
Abstract: Abstract Objectives: To estimate risk of malignancy in patients with idiopathic inflammatory myositis (IIM) compared to patients with knee osteoarthritis (OA). Methods: Patients with IIM and knee OA aged over 50, who had no history…
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Keywords:
risk;
compared patients;
malignancy patients;
sir ... See more keywords
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Published in 2018 at "Open Forum Infectious Diseases"
DOI: 10.1093/ofid/ofy210.1792
Abstract: Abstract Background During surgical operations, surgical wounds are classified according to the wound classification system (I—clean; II—clean/contaminated; III—contaminated; and IV—dirty). Accuracy in assessing the degree of wound contamination is crucial since it greatly impacts the…
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Keywords:
classification;
sir;
infection;
wound ... See more keywords