Image 1_Revealing key regulatory factors in lung adenocarcinoma: the role of epigenetic regulation of autophagy-related genes from transcriptomics, scRNA-seq, and machine learning.... حسب Xianchang Zeng (9329117)

"…</p>Conclusion<p>In this study, we utilized bulk and single-cell transcriptomic data to uncover the potential molecular mechanisms of A-ERGs in lung cancer. …"

Table 1_Assessing the diagnostic value of qPCR for Trichuris trichiura: sub-analysis of a multi-country clinical trial to determine the efficacy of albendazole compared to an alben... حسب Pedro E. Fleitas (8704023)

"…Additionally, machine learning algorithms were used to predict infection intensity from qPCR Ct-values and demographic variables. qPCR confirmed the superior efficacy of FDC compared to albendazole as previously shown by KK, but discrepancies were observed in CRs between qPCR and KK, particularly lower qPCR CRs for FDC×1 and FDC×3. …"

Presentation 2_Deep learning radiomics nomogram predicts lymph node metastasis in laryngeal squamous cell carcinoma.pptx حسب Yun Liang (383275)

"…Radiomics features were extracted from CT images, and 7 machine learning algorithms were used to develop 7 radiomics models, which were combined with deep learning features extracted from the ResNet50 deep learning network to form deep learning radiomics (DLR) models. …"

Image 1_Safety assessment of temozolomidee: real-world adverse event analysis from the FAERS database.png حسب Yu Liu (6938)

"…Background<p>Temozolomidee (TMZ) is an alkylating antitumor drug used in the treatment of glioblastoma and anaplastic astrocytoma. …"

Table 1_Identification and validation of CKAP2 as a novel biomarker in the development and progression of rheumatoid arthritis.docx حسب Qiongbing Zheng (4741563)

"…Differentially expressed gene (DEG) analysis, functional enrichment analysis, and weighted gene co-expression network analysis (WGCNA) identified key gene modules in RA. Machine learning algorithms were used to identify hub genes, followed by immune infiltration analysis and gene set variation analysis (GSVA). …"

The overall framework of this study. حسب Tianbao Feng (21722233)

"…Additionally, a protein-protein interaction (PPI) network was established to identify hub genes, and 8 machine learning algorithms were used to narrowed down hub genes. <i>BMX</i> and <i>CASP5</i> were consistently identified across all algorithms. …"

PANoptosis related genes. حسب Tianbao Feng (21722233)

"…Additionally, a protein-protein interaction (PPI) network was established to identify hub genes, and 8 machine learning algorithms were used to narrowed down hub genes. <i>BMX</i> and <i>CASP5</i> were consistently identified across all algorithms. …"

Table 1_A novel muscle network approach for objective assessment and profiling of bulbar involvement in ALS.docx حسب Panying Rong (2697181)

"…This tool has various strengths, including the use of a clinically readily available noninvasive instrument, fully automated data processing and analytics, and generation of interpretable objective outcome measures (i.e., latent factors), together rendering it highly scalable in routine clinical practice for assessing and monitoring of bulbar involvement.…"

Table 2_A real−world pharmacovigilance study of FDA Adverse Event Reporting System events for pralsetinib.xlsx حسب Yi Yin (448434)

"…</p>Conclusion<p>Our pharmacovigilance analysis of real-world data from the FEARS database revealed the safety signals and potential risks of pralsetinib usage. …"

Table 3_A real−world pharmacovigilance study of FDA Adverse Event Reporting System events for pralsetinib.xlsx حسب Yi Yin (448434)

"…</p>Conclusion<p>Our pharmacovigilance analysis of real-world data from the FEARS database revealed the safety signals and potential risks of pralsetinib usage. …"

Table 1_A real−world pharmacovigilance study of FDA Adverse Event Reporting System events for pralsetinib.docx حسب Yi Yin (448434)

"…</p>Conclusion<p>Our pharmacovigilance analysis of real-world data from the FEARS database revealed the safety signals and potential risks of pralsetinib usage. …"

Primer sequences of <i>Bm</i>x and β-actin. حسب Tianbao Feng (21722233)

"…Additionally, a protein-protein interaction (PPI) network was established to identify hub genes, and 8 machine learning algorithms were used to narrowed down hub genes. <i>BMX</i> and <i>CASP5</i> were consistently identified across all algorithms. …"

<b>Neural Symbolic Vault: Symbolic Species and</b> <b>DNA Co-Encoding Research Bundle v1.0 (A+M[S] Archive)</b> حسب Jeffrey Siergiej (20937434)

"…<p dir="ltr">License Type:</p><p dir="ltr">Custom Siergiej Services IPNX License – Non-transferable, non-commercial use only unless otherwise contracted. See included LICENSE.txt for terms.…"

Machine learning to predict postdialysis fatigue in patients undergoing hemodialysis حسب Yuhan Zhang (2792089)

"…</p><p>Seven machine learning algorithms were used to construct the prediction model, and RF performed the best.…"

Table 1_Correlation of triglyceride-glucose index with the incidence and prognosis of hyperglycemic crises in critically ill patients with diabetes mellitus: a machine-learning-bas... حسب Mingchen Xie (4325692)

"…This study aims to evaluate the relationship between the TyG index and HCE incidence/clinical outcomes in critically ill patients with DM and to construct a risk prediction model using machine-learning algorithms.</p>Methods<p>This multi-center retrospective investigation leveraged clinical repositories from Medical Information Mart for Intensive Care IV (MIMIC-IV) and eICU Collaborative Research Database (eICU-CRD). …"

Supporting data for "Fracture and Non-linear Response of Biopolymer Network with Dynamic Cross-linkers" حسب Bingxian Tang (9151802)

"…It details the input parameters, such as line density and crosslink number, as well as the algorithms employed for filament arrangement and crosslink determination. …"