Table1_The immunological and prognostic significance of the diabetes mellitus-related gene WFS1 in endometrial cancer.xlsx by Wenzhe Li (815057)

“…Then, comprehensive analyses and verification experiments, including differential expression analysis, prognostic modeling, functional enrichment analysis, gene mutation profiling, assessment of immune cell infiltration, immunophenoscore (IPS), tumor stemness index scoring, drug sensitivity analysis, single-cell transcriptomic analysis, glycolytic pathway analysis, and clinical verification, were performed to comprehensively evaluate the clinical value of WFS1 in EC.</p>Results<p>The EC group had significantly lower WFS1 expression, with an AUC of 0.857 for the ROC diagnostic curve. …”

Image 1_The advanced lung cancer inflammation index as a predictor of kidney stone risk in men: a cross-sectional analysis.tif by Yan Zhou (6523)

“…For every one-unit increase in ALI score, the risk of having kidney stones decreased by 22.7% (odds ratio = 0.773, 95% CI: 0.675–0.885, P < 0.001). …”

Table 1_Association of serum chemokine (C–C motif) 21 and receptor (C–C motif) 7 with Hashimoto’s thyroiditis——a preliminary clinical investigation.docx by Xiaoting Gui (22516922)

“…The results of receiver operating characteristic curve analysis indicated that CCL21 has value for the diagnosis of Hashimoto’s thyroiditis [AUC (95% CI)=0.998 (0.996-1.000), p<0.001]. …”

DataSheet1_Predicting temporomandibular disorders in adults using interpretable machine learning methods: a model development and validation study.pdf by Yuchen Cui (5896310)

“…</p>Methods<p>A total of 949 adults who underwent oral examinations were enrolled in our study. 5 different ML algorithms were used for model development and comparison, and feature selection was performed by feature importance ranking and feature decreasing methods. Several evaluation indexes, including the area under the receiver-operating-characteristic curve (AUC), were used to compare the predictive performance. …”

Image 2_The advanced lung cancer inflammation index as a predictor of kidney stone risk in men: a cross-sectional analysis.tif by Yan Zhou (6523)

“…For every one-unit increase in ALI score, the risk of having kidney stones decreased by 22.7% (odds ratio = 0.773, 95% CI: 0.675–0.885, P < 0.001). …”

Supplementary file 1_Analysis of gut and circulating microbiota characteristics in patients with liver cirrhosis and portal vein thrombosis.docx by Ping Qi (772738)

“…PVT patients had increased Gram-negative bacteria (such as Escherichia-Shigella) and decreased SCFA-producing taxa. (2) Compared with peripheral vein microbiota, portal vein microbiota showed significant difference in α diversity and β diversity in cirrhotic patients with PVT, with Massilia enriched. (3) Portal microbiota had the highest diagnostic value for PVT (AUC = 0.95). (4) The tPVT group had more portal-feces shared genera than the tNPVT group (49 vs. 29). …”

Table 1_The advanced lung cancer inflammation index as a predictor of kidney stone risk in men: a cross-sectional analysis.docx by Yan Zhou (6523)

“…For every one-unit increase in ALI score, the risk of having kidney stones decreased by 22.7% (odds ratio = 0.773, 95% CI: 0.675–0.885, P < 0.001). …”

Image 1_Clinical study of PLA2R epitope spreading for predicting proteinuria remission in primary membranous nephropathy.pdf by Xueyang Cheng (22473883)

“…This study aimed to evaluate whether epitope spreading offers superior prognostic value compared to total anti-PLA2R IgG levels in patients with PMN.…”

Table 5_Immune-related diagnostic indicators and targeted therapies for COPD combined with NASH were identified and verified via WGCNA and LASSO.xlsx by Jianwei Hong (6918776)

“…A nomogram diagnostic model was constructed based on these two core genes. The AUC value for S100A9 was 0.887, for MYH2 was 0.877, and for the nomogram was 0.889, demonstrating excellent diagnostic efficacy. …”

Table 1_Immune-related diagnostic indicators and targeted therapies for COPD combined with NASH were identified and verified via WGCNA and LASSO.xlsx by Jianwei Hong (6918776)

“…A nomogram diagnostic model was constructed based on these two core genes. The AUC value for S100A9 was 0.887, for MYH2 was 0.877, and for the nomogram was 0.889, demonstrating excellent diagnostic efficacy. …”

Table 4_Immune-related diagnostic indicators and targeted therapies for COPD combined with NASH were identified and verified via WGCNA and LASSO.xlsx by Jianwei Hong (6918776)

“…A nomogram diagnostic model was constructed based on these two core genes. The AUC value for S100A9 was 0.887, for MYH2 was 0.877, and for the nomogram was 0.889, demonstrating excellent diagnostic efficacy. …”

Table 3_Immune-related diagnostic indicators and targeted therapies for COPD combined with NASH were identified and verified via WGCNA and LASSO.xlsx by Jianwei Hong (6918776)

“…A nomogram diagnostic model was constructed based on these two core genes. The AUC value for S100A9 was 0.887, for MYH2 was 0.877, and for the nomogram was 0.889, demonstrating excellent diagnostic efficacy. …”

Table 6_Immune-related diagnostic indicators and targeted therapies for COPD combined with NASH were identified and verified via WGCNA and LASSO.xlsx by Jianwei Hong (6918776)

“…A nomogram diagnostic model was constructed based on these two core genes. The AUC value for S100A9 was 0.887, for MYH2 was 0.877, and for the nomogram was 0.889, demonstrating excellent diagnostic efficacy. …”

Table 2_Immune-related diagnostic indicators and targeted therapies for COPD combined with NASH were identified and verified via WGCNA and LASSO.xlsx by Jianwei Hong (6918776)

“…A nomogram diagnostic model was constructed based on these two core genes. The AUC value for S100A9 was 0.887, for MYH2 was 0.877, and for the nomogram was 0.889, demonstrating excellent diagnostic efficacy. …”