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Showing 3,881 - 3,900 results of 18,582 for search 'significantly ((((lower decrease) OR (((we decrease) OR (a decrease))))) OR (linear decrease))', query time: 0.49s Refine Results
  1. 3881
    Conceptual model being tested in the current study.

    Conceptual model being tested in the current study. by K. Kanoho Hosoda (19929050)

    Published 2024
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  2. 3882
    Baseline characteristics of the participants.

    Baseline characteristics of the participants. by Jia Song (495396)

    Published 2025
    “…</p><p>Results</p><p>After finerenone treatment, the levels of UACR, urinary β2-microglobulin (β2-MG) and proinflammatory cytokines in patients decreased compared with the pretreatment levels. Moreover, the rates of decrease in the UACR levels in the macroalbuminuria group were significantly greater than those in the microalbuminuria group. …”
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  3. 3883
    Image 10_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg

    Image 10_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg by Chen Wang (88408)

    Published 2025
    “…</p>Methods<p>To identify potential regulators of immunotherapy response, we conducted a comprehensive analysis of colorectal cancer datasets from The Cancer Genome Atlas (TCGA). …”
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  4. 3884
    Image 3_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg

    Image 3_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg by Chen Wang (88408)

    Published 2025
    “…</p>Methods<p>To identify potential regulators of immunotherapy response, we conducted a comprehensive analysis of colorectal cancer datasets from The Cancer Genome Atlas (TCGA). …”
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  5. 3885
    Image 7_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.tif

    Image 7_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.tif by Chen Wang (88408)

    Published 2025
    “…</p>Methods<p>To identify potential regulators of immunotherapy response, we conducted a comprehensive analysis of colorectal cancer datasets from The Cancer Genome Atlas (TCGA). …”
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  6. 3886
    Image 6_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg

    Image 6_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg by Chen Wang (88408)

    Published 2025
    “…</p>Methods<p>To identify potential regulators of immunotherapy response, we conducted a comprehensive analysis of colorectal cancer datasets from The Cancer Genome Atlas (TCGA). …”
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  7. 3887
    Image 8_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg

    Image 8_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg by Chen Wang (88408)

    Published 2025
    “…</p>Methods<p>To identify potential regulators of immunotherapy response, we conducted a comprehensive analysis of colorectal cancer datasets from The Cancer Genome Atlas (TCGA). …”
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  8. 3888
    Image 15_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg

    Image 15_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg by Chen Wang (88408)

    Published 2025
    “…</p>Methods<p>To identify potential regulators of immunotherapy response, we conducted a comprehensive analysis of colorectal cancer datasets from The Cancer Genome Atlas (TCGA). …”
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  9. 3889
    Image 4_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.tif

    Image 4_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.tif by Chen Wang (88408)

    Published 2025
    “…</p>Methods<p>To identify potential regulators of immunotherapy response, we conducted a comprehensive analysis of colorectal cancer datasets from The Cancer Genome Atlas (TCGA). …”
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  10. 3890
    Image 11_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg

    Image 11_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg by Chen Wang (88408)

    Published 2025
    “…</p>Methods<p>To identify potential regulators of immunotherapy response, we conducted a comprehensive analysis of colorectal cancer datasets from The Cancer Genome Atlas (TCGA). …”
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  11. 3891
    Image 5_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.tif

    Image 5_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.tif by Chen Wang (88408)

    Published 2025
    “…</p>Methods<p>To identify potential regulators of immunotherapy response, we conducted a comprehensive analysis of colorectal cancer datasets from The Cancer Genome Atlas (TCGA). …”
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  12. 3892
    Image 9_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg

    Image 9_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg by Chen Wang (88408)

    Published 2025
    “…</p>Methods<p>To identify potential regulators of immunotherapy response, we conducted a comprehensive analysis of colorectal cancer datasets from The Cancer Genome Atlas (TCGA). …”
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  13. 3893
    Data Sheet 1_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.pdf

    Data Sheet 1_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.pdf by Chen Wang (88408)

    Published 2025
    “…</p>Methods<p>To identify potential regulators of immunotherapy response, we conducted a comprehensive analysis of colorectal cancer datasets from The Cancer Genome Atlas (TCGA). …”
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  14. 3894
    Image 2_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg

    Image 2_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg by Chen Wang (88408)

    Published 2025
    “…</p>Methods<p>To identify potential regulators of immunotherapy response, we conducted a comprehensive analysis of colorectal cancer datasets from The Cancer Genome Atlas (TCGA). …”
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  15. 3895
    Image 13_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg

    Image 13_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg by Chen Wang (88408)

    Published 2025
    “…</p>Methods<p>To identify potential regulators of immunotherapy response, we conducted a comprehensive analysis of colorectal cancer datasets from The Cancer Genome Atlas (TCGA). …”
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  16. 3896
    Image 1_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.tif

    Image 1_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.tif by Chen Wang (88408)

    Published 2025
    “…</p>Methods<p>To identify potential regulators of immunotherapy response, we conducted a comprehensive analysis of colorectal cancer datasets from The Cancer Genome Atlas (TCGA). …”
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  17. 3897
    Image 14_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg

    Image 14_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg by Chen Wang (88408)

    Published 2025
    “…</p>Methods<p>To identify potential regulators of immunotherapy response, we conducted a comprehensive analysis of colorectal cancer datasets from The Cancer Genome Atlas (TCGA). …”
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  18. 3898
    Image 12_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg

    Image 12_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg by Chen Wang (88408)

    Published 2025
    “…</p>Methods<p>To identify potential regulators of immunotherapy response, we conducted a comprehensive analysis of colorectal cancer datasets from The Cancer Genome Atlas (TCGA). …”
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  19. 3899
    Boxplots display the median (as the central tendency) and the interquartile range (25th to 75th percentiles) as the bottom and top edges of the box.

    Boxplots display the median (as the central tendency) and the interquartile range (25th to 75th percentiles) as the bottom and top edges of the box. by Manal Ali Ahmad (16868808)

    Published 2025
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  20. 3900
    Malaria prevalence over the years is presented by age (Fig 3A), sex (Fig 3B), history of fever (Fig 3C), geographical zones (Fig 3D), ITN use (Fig 3E), and elevation (Fig 3F).

    Malaria prevalence over the years is presented by age (Fig 3A), sex (Fig 3B), history of fever (Fig 3C), geographical zones (Fig 3D), ITN use (Fig 3E), and elevation (Fig 3F). by Frank Chacky (3446654)

    Published 2025
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