Table 1_Comprehensive analysis of adverse events associated with onasemnogene abeparvovec (Zolgensma) in spinal muscular atrophy patients: insights from FAERS database.docx by Wenwen Zhang (331647)

“…A total of 1951 adverse event reports associated with onasemnogene abeparvovec (Zolgensma), containing 778 import important medical event (IME) signals, were identified from the FAERS database, and multiple disproportionate analysis algorithms were used to determine the significance of these adverse events. …”

Higher-Order Accurate Two-Sample Network Inference and Network Hashing by Meijia Shao (20543225)

“…Our method outperforms existing tools in speed and accuracy, and it is proved power-optimal. Our algorithms are user-friendly and versatile in handling various data structures (single or repeated network observations; known or unknown node registration). …”

Image 2_Intra-tumor heterogeneity-resistant gene signature predicts prognosis and immune infiltration in breast cancer.jpeg by Haixing Shen (22315486)

“…A machine learning framework incorporating ten algorithms was used to construct a prognostic signature.The expression levels and oncogenic function of the prognostic genes were validated through RT-qPCR and in vitro experiments.…”

Image 1_Intra-tumor heterogeneity-resistant gene signature predicts prognosis and immune infiltration in breast cancer.jpeg by Haixing Shen (22315486)

“…A machine learning framework incorporating ten algorithms was used to construct a prognostic signature.The expression levels and oncogenic function of the prognostic genes were validated through RT-qPCR and in vitro experiments.…”

Table 2_Comprehensive analysis of immunogenic cell death-related genes in liver ischemia-reperfusion injury.xlsx by Kai Lu (166354)

“…The RF and SVM machine learning algorithms were finally chosen to construct the models. …”

Table 1_Comprehensive analysis of immunogenic cell death-related genes in liver ischemia-reperfusion injury.xlsx by Kai Lu (166354)

“…The RF and SVM machine learning algorithms were finally chosen to construct the models. …”

Data Sheet 1_Diagnostic efficacy of remnant cholesterol inflammatory index in diabetic kidney disease: machine learning approaches.docx by Xili Xie (16560302)

“…Logistic regression and restricted cubic spline analysis were used to evaluate associations and dose–response relationship between RC and RCII and DKD. …”

DataSheet1_Assessing sepsis-induced immunosuppression to predict positive blood cultures.pdf by Enrique Hernández-Jiménez (559505)

“…Although not widely accepted, several clinical and artificial intelligence-based algorithms have been recently developed to predict bacteremia. …”

Image 1_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana... by Zhaokai Zhou (15239078)

“…</p>Materials and methods<p>Signal-cell RNA sequencing (scRNA-seq) datasets were used to identify CAF subpopulations in BLCA, and bulk RNA-seq datasets were used to construct CAFs-based BLCA classification. …”

Table 1_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana... by Zhaokai Zhou (15239078)

“…</p>Materials and methods<p>Signal-cell RNA sequencing (scRNA-seq) datasets were used to identify CAF subpopulations in BLCA, and bulk RNA-seq datasets were used to construct CAFs-based BLCA classification. …”

Image 2_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana... by Zhaokai Zhou (15239078)

“…</p>Materials and methods<p>Signal-cell RNA sequencing (scRNA-seq) datasets were used to identify CAF subpopulations in BLCA, and bulk RNA-seq datasets were used to construct CAFs-based BLCA classification. …”

Image 1_The correlation between TyG-BMI and the risk of osteoporosis in middle-aged and elderly patients with type 2 diabetes mellitus.tiff by Yanrong Chen (2611009)

“…Restricted cubic spline (RCS) analysis was used to explore the dose-response relationship between TyG-BMI and OP. …”

Image 2_The correlation between TyG-BMI and the risk of osteoporosis in middle-aged and elderly patients with type 2 diabetes mellitus.tiff by Yanrong Chen (2611009)

“…Restricted cubic spline (RCS) analysis was used to explore the dose-response relationship between TyG-BMI and OP. …”

Image 3_The correlation between TyG-BMI and the risk of osteoporosis in middle-aged and elderly patients with type 2 diabetes mellitus.tiff by Yanrong Chen (2611009)

“…Restricted cubic spline (RCS) analysis was used to explore the dose-response relationship between TyG-BMI and OP. …”