Showing 1 - 20 results of 4,145 for search '(( using stat decrease ) OR ( a ((large decrease) OR (marked decrease)) ))', query time: 0.53s Refine Results
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    Withdrawal of Type I JAKinibs increased STAT phosphorylation, a phenomenon present but markedly lower in Type II JAKinibs. by Ilya Gurevic (1326786)

    Published 2025
    “…(A) pJAK2 peaked at time zero after exposure to baricitinib and ruxolitinib and then decreases. There was no increase in pJAK2 with CHZ868 treatment; (B) pSTAT1 proportion peaked after 60 minutes and was greater after Type I JAKinib withdrawal than Type II JAKinib withdrawal; <b>(C)</b> The pSTAT2 proportion peaked 60 minutes after Type I JAKinib withdrawal but this phenomenon was not seen with Type II JAKinib withdrawal.…”
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    Improving QoL through the use of STAT-ON™. by Daniel Rodriguez-Martin (22411006)

    Published 2025
    “…While medication costs may increase, overall direct healthcare expenses decrease, leading to net savings. As an example, the study estimates potential cost reductions of up to €137.8 million in Germany and €19 million in Sweden when STAT-ON™ is used to detect advanced PD symptoms. …”
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    Overview of the parameters used in the model. by Albertus Constantijn Sloof (20405090)

    Published 2024
    “…<div><p>Background</p><p>Chikungunya virus (CHIKV) outbreaks, driven by the expanding habitat of the <i>Aedes albopictus</i> mosquito and global climate change, pose a significant threat to public health. Our study evaluates the effectiveness of emergency vaccination using a dynamic disease transmission model for a potential large-scale outbreak in Rome, Italy.…”
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    Mortality rates per lifecycle stage [28]. by Albertus Constantijn Sloof (20405090)

    Published 2024
    “…<div><p>Background</p><p>Chikungunya virus (CHIKV) outbreaks, driven by the expanding habitat of the <i>Aedes albopictus</i> mosquito and global climate change, pose a significant threat to public health. Our study evaluates the effectiveness of emergency vaccination using a dynamic disease transmission model for a potential large-scale outbreak in Rome, Italy.…”
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