Showing 1 - 20 results of 11,006 for search '(( models ((small decrease) OR (a decrease)) ) OR ( ai ((larger decrease) OR (marked decrease)) ))', query time: 0.49s Refine Results
  1. 1
  2. 2
  3. 3

    Image 7_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

    Published 2025
    “…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
  4. 4

    Image 6_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

    Published 2025
    “…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
  5. 5

    Image 3_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

    Published 2025
    “…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
  6. 6

    Image 1_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

    Published 2025
    “…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
  7. 7

    Image 2_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

    Published 2025
    “…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
  8. 8

    Image 4_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

    Published 2025
    “…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
  9. 9

    Image 5_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

    Published 2025
    “…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
  10. 10

    Image 8_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

    Published 2025
    “…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
  11. 11

    Table 1_Previous treatment decreases efficacy of pralsetinib in RET fusion-positive non-small-cell lung cancer.doc by Lei Wang (6656)

    Published 2025
    “…Background<p>Pralsetinib is a selective RET inhibitor. The ARROW trial revealed that RET fusion-positive non-small-cell lung cancer (NSCLC) can benefit from pralsetinib with tolerable adverse events (AEs). …”
  12. 12

    Decreased clonogenic capacity of U87MG and U251MG glioma cells dependent on SHG-44 concentration. by Denis Mustafov (19137870)

    Published 2025
    “…<p><b>(A)</b> A significant decrease in the proliferative clonal capacity of U87MG colonies was observed with 70ΜM and 100ΜM SHG-44 treatment. …”
  13. 13
  14. 14

    Image 2_G. vaginalis increases HSV-2 infection by decreasing vaginal barrier integrity and increasing inflammation in vivo.tif by Nuzhat Rahman (16660416)

    Published 2024
    “…The mechanism is poorly understood due to the lack of small animal models.</p>Methods<p>Mice were inoculated with 10<sup>7</sup> CFU of the eubiotic bacteria Lactobacillus crispatus, the dysbiotic bacteria G. vaginalis, or PBS as a negative control every 48 h for ten days. …”
  15. 15

    Image 5_G. vaginalis increases HSV-2 infection by decreasing vaginal barrier integrity and increasing inflammation in vivo.tif by Nuzhat Rahman (16660416)

    Published 2024
    “…The mechanism is poorly understood due to the lack of small animal models.</p>Methods<p>Mice were inoculated with 10<sup>7</sup> CFU of the eubiotic bacteria Lactobacillus crispatus, the dysbiotic bacteria G. vaginalis, or PBS as a negative control every 48 h for ten days. …”
  16. 16

    Image 3_G. vaginalis increases HSV-2 infection by decreasing vaginal barrier integrity and increasing inflammation in vivo.tif by Nuzhat Rahman (16660416)

    Published 2024
    “…The mechanism is poorly understood due to the lack of small animal models.</p>Methods<p>Mice were inoculated with 10<sup>7</sup> CFU of the eubiotic bacteria Lactobacillus crispatus, the dysbiotic bacteria G. vaginalis, or PBS as a negative control every 48 h for ten days. …”
  17. 17

    Image 1_G. vaginalis increases HSV-2 infection by decreasing vaginal barrier integrity and increasing inflammation in vivo.tif by Nuzhat Rahman (16660416)

    Published 2024
    “…The mechanism is poorly understood due to the lack of small animal models.</p>Methods<p>Mice were inoculated with 10<sup>7</sup> CFU of the eubiotic bacteria Lactobacillus crispatus, the dysbiotic bacteria G. vaginalis, or PBS as a negative control every 48 h for ten days. …”
  18. 18

    Image 4_G. vaginalis increases HSV-2 infection by decreasing vaginal barrier integrity and increasing inflammation in vivo.tif by Nuzhat Rahman (16660416)

    Published 2024
    “…The mechanism is poorly understood due to the lack of small animal models.</p>Methods<p>Mice were inoculated with 10<sup>7</sup> CFU of the eubiotic bacteria Lactobacillus crispatus, the dysbiotic bacteria G. vaginalis, or PBS as a negative control every 48 h for ten days. …”
  19. 19
  20. 20