Table2_A real-world pharmacovigilance analysis of eslicarbazepine acetate using the FDA adverse events reporting system (FAERS) database from 2013 (Q4) to 2024 (Q1).XLSX by Huafei Tang (19710232)

“…</p>Methods<p>By extracting all available data since the FDA approval of ESL (2013Q4-2024Q1), disproportionality analysis was performed using reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN) and multi-item gamma Poisson shrinker (MGPS) algorithms. …”

Data_Sheet_2_Comprehensive analysis of the diagnostic and therapeutic value, immune infiltration, and drug treatment mechanisms of GTSE1 in lung adenocarcinoma.docx by Guanqiang Yan (18472116)

“…Subsequently, the prognostic ability of GTSE1 was evaluated based on clinical follow-up data using methods such as using univariate, multivariate, and prognostic meta-analysis. …”

Data_Sheet_3_Comprehensive analysis of the diagnostic and therapeutic value, immune infiltration, and drug treatment mechanisms of GTSE1 in lung adenocarcinoma.docx by Guanqiang Yan (18472116)

“…Subsequently, the prognostic ability of GTSE1 was evaluated based on clinical follow-up data using methods such as using univariate, multivariate, and prognostic meta-analysis. …”

Data_Sheet_1_Comprehensive analysis of the diagnostic and therapeutic value, immune infiltration, and drug treatment mechanisms of GTSE1 in lung adenocarcinoma.docx by Guanqiang Yan (18472116)

“…Subsequently, the prognostic ability of GTSE1 was evaluated based on clinical follow-up data using methods such as using univariate, multivariate, and prognostic meta-analysis. …”

Supplementary file 1_Single-cell and bulk transcriptomic analyses reveal PANoptosis-associated immune dysregulation of fibroblasts in periodontitis.zip by Erli Wu (17785482)

“…Functional enrichment analyses were used to explore PANoptosis and related pathways, with five gene set scoring methods applied to quantify PANoptosis activity in human gingival fibroblasts (HGFs). …”

Table 1_Risk prediction for cardiovascular events and all-cause mortality in maintenance hemodialysis patients.docx by Mengxia Cao (22500635)

“…Objective<p>This study is designed to develop predictive models for cardiovascular events (CVE) and all-cause mortality in maintenance hemodialysis (MHD) patients using machine learning (ML) algorithms. Furthermore, we aim to compare the performance of these ML-based models with that of traditional Cox regression models.…”

Methodology block diagram. by Gahao Chen (21688843)

“…Current machine learning (ML) models demonstrate suboptimal predictive performance in KD treatment response prediction, primarily due to their limited ability to effectively process categorical variables and interpret tabular clinical data. …”

Data Sheet 1_Automated classification of stress and relaxation responses in major depressive disorder, panic disorder, and healthy participants via heart rate variability.pdf by Sangwon Byun (3434747)

“…This study evaluated the feasibility of using machine-learning algorithms to detect stress automatically in MDD and PD patients, as well as healthy controls (HCs), based on HRV features.…”

Data Sheet 2_Icariin ameliorates minimal change disease by regulating the mitochondrial dysfunction pathway: an integrated strategy of network pharmacology, bioinformatics, and exp... by Hao Wu (65943)

“…In addition, the key gene-based nomogram demonstrated good predictive ability. …”

Table 4_DEPDC1B, CDCA2, APOBEC3B, and TYMS are potential hub genes and therapeutic targets for diagnosing dialysis patients with heart failure.xlsx by Wenwu Tang (5493086)

“…However, there is still a lack of effective and reliable HF diagnostic markers and therapeutic targets for patients with MHD.</p>Methods<p>In this study, we analyzed transcriptome profiles of 30 patients with MHD by high-throughput sequencing. …”

Data Sheet 2_Quality, reliability, and dissemination of lung cancer information on short-video platforms in China: a cross-platform content analysis of TikTok, Kwai, and Rednote.do... by Xiaoran Zheng (6254537)

“…Professional, evidence-based content enhances reliability, whereas emotional and visually driven content drives engagement. …”

Data Sheet 1_Role of necroptosis-related genes in immune activity and prognosis of colorectal cancer.docx by Lulu Tan (1437397)

“…Hence, this study aims to develop a novel NRG-based signature to predict the prognosis of CRC patients and explore its potential role.…”

Image 1_Integrated transcriptomics and machine learning reveal REN as a dual regulator of tumor stemness and NK cell evasion in Wilms tumor progression.tif by Qingfei Cao (12062217)

“…A novel Cancer Stemness Prognostic Index (CSPI) was developed using machine learning algorithms to stratify WT patients by risk and histological subtype. …”

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

“…A total of 95 significant disproportionality preferred terms (PTs) conformed to the four algorithms simultaneously. AEs that ranked the top three at the PT level were hypertension (n = 80), asthenia (n = 79), and anemia (n = 65). …”

Table 1_DEPDC1B, CDCA2, APOBEC3B, and TYMS are potential hub genes and therapeutic targets for diagnosing dialysis patients with heart failure.xlsx by Wenwu Tang (5493086)

“…However, there is still a lack of effective and reliable HF diagnostic markers and therapeutic targets for patients with MHD.</p>Methods<p>In this study, we analyzed transcriptome profiles of 30 patients with MHD by high-throughput sequencing. …”

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

“…A total of 95 significant disproportionality preferred terms (PTs) conformed to the four algorithms simultaneously. AEs that ranked the top three at the PT level were hypertension (n = 80), asthenia (n = 79), and anemia (n = 65). …”

Addressing the Gap in Oncologist Training by Skylar Gay (20696057)

“…An automated random walk-based technique was developed to (3) introduce hotspots into the target (106%-113% of prescription). …”

Data Sheet 1_Icariin ameliorates minimal change disease by regulating the mitochondrial dysfunction pathway: an integrated strategy of network pharmacology, bioinformatics, and exp... by Hao Wu (65943)

“…In addition, the key gene-based nomogram demonstrated good predictive ability. …”

Image 1_DEPDC1B, CDCA2, APOBEC3B, and TYMS are potential hub genes and therapeutic targets for diagnosing dialysis patients with heart failure.pdf by Wenwu Tang (5493086)

“…However, there is still a lack of effective and reliable HF diagnostic markers and therapeutic targets for patients with MHD.</p>Methods<p>In this study, we analyzed transcriptome profiles of 30 patients with MHD by high-throughput sequencing. …”

Table 2_DEPDC1B, CDCA2, APOBEC3B, and TYMS are potential hub genes and therapeutic targets for diagnosing dialysis patients with heart failure.xlsx by Wenwu Tang (5493086)

“…However, there is still a lack of effective and reliable HF diagnostic markers and therapeutic targets for patients with MHD.</p>Methods<p>In this study, we analyzed transcriptome profiles of 30 patients with MHD by high-throughput sequencing. …”