Drug-induced herpes zoster: a pharmacovigilance analysis of FDA adverse event reports from 2004 to 2024 by Jiali Xia, Jing Zhang, Hongyu Zhu, Li Ding

“…This research utilized data from the FDA Adverse Event Reporting System (FAERS) to examine the prevalence and attributes of drug-induced herpes zoster.MethodsWe analyzed FAERS reports about zoster from Q1 2004 to Q3 2024 and developed a list of possible pathogenic agents. …”
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Sexual dimorphism of the human corpus callosum: Digital morphometric study by Spasojević Goran, Stojanović Zlatan, Šuščević Dušan, Malobabić Slobodan

“…An analysis of these changes requires data about sexual dimorphism of the corpus callosum, which we tried to obtain in our study. …”
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Machine learning based gut microbiota pattern and response to fiber as a diagnostic tool for chronic inflammatory diseases by Miad Boodaghidizaji, Thaisa Jungles, Tingting Chen, Bin Zhang, Tianming Yao, Alan Landay, Ali Keshavarzian, Bruce Hamaker, Arezoo Ardekani

“…Furthermore, applying machine learning to microbiome data to distinguish UC from CD yielded a prediction accuracy of up to 90%.…”
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To explore the prognostic efficacy and mechanism of ABCC5 clinical scoring model in hepatocellular carcinoma by Yu Deng, Ning Yang, Ning Yang, Chengyu Huang, Chengyu Huang, Meiting Long, Meiting Long, Junming Wu, Junming Wu, Ke Mo, Ke Mo, Zijun Li

“…It aims to explore ABCC5 role and prognostic value in HCC and uses the DrugBank database to identify potential therapeutic drugs targeting ABCC5, assessing its potential as a biomarker and treatment target for HCC.MethodsRNA-seq and clinical data from TCGA-LIHC and GSE76427 were analyzed to identify ABCC5-associated differentially expressed genes and miRNAs. …”
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Transcript Expression Data from Human Islets Links Regulatory Signals from Genome-Wide Association Studies for Type 2 Diabetes and Glycemic Traits to Their Downstream Effectors. by Martijn van de Bunt, Jocelyn E Manning Fox, Xiaoqing Dai, Amy Barrett, Caleb Grey, Lei Li, Amanda J Bennett, Paul R Johnson, Raymond V Rajotte, Kyle J Gaulton, Emmanouil T Dermitzakis, Patrick E MacDonald, Mark I McCarthy, Anna L Gloyn

“…The intersection of genome-wide association analyses with physiological and functional data indicates that variants regulating islet gene transcription influence type 2 diabetes (T2D) predisposition and glucose homeostasis. …”
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Enterovirus Detection Trends Based on Respiratory Specimens from a Single Tertiary Hospital in Korea (2018–2024): A Retrospective Study Using Multiplex PCR Data by Jeong Su Han, Sung Hun Jang, Jae-Sik Jeon, Jae Kyung Kim

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FlyPhoneDB2: A computational framework for analyzing cell-cell communication in Drosophila scRNA-seq data integrating AlphaFold-multimer predictions by Mujeeb Qadiri, Ying Liu, Ah-Ram Kim, Myeonghoon Han, Eric Zhou, Austin Veal, Tzu-Chiao Lu, Hongjie Li, Yanhui Hu, Norbert Perrimon

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Implications of the integration process of the administrative records of criminality between the SPOA (Oral Accusatory Criminal System) of the Attorney General’s Office (FGN) and t... by Jair David Rodríguez Ortega, Lorena del Pilar Caro Zambrano, Daniel Mejía Londoño, Mauricio Romero Hernández, Franney Campos Méndez

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Topic Modeling Analysis of Children’s Food Safety Management Using BigKinds News Big Data: Comparing the Implementation Times of the Comprehensive Plan for Children’s Dietary Safet... by Hae Jin Park, Sang Goo Cho, Kyung Won Lee, Seung Jae Lee, Jieun Oh

“…A significant increase in digital keywords—such as “big data” and “artificial intelligence”—highlights a growing emphasis on data-oriented policy tools. …”
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Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study by Soo Hwan Park, Roshini Pinto-Powell, Thomas Thesen, Alexander Lindqwister, Joshua Levy, Rachael Chacko, Devina Gonzalez, Connor Bridges, Adam Schwendt, Travis Byrum, Justin Fong, Shahin Shahsavari, Saeed Hassanpour

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Harnessing artificial intelligence for predictive modelling in oral oncology: Opportunities, challenges, and clinical Perspectives by Vishnu Priya Veeraraghavan, Shikhar Daniel, Arun Kumar Dasari, Kaladhar Reddy Aileni, Chaitra patil, Santosh R. Patil

“…Additionally, challenges such as interpretability, data accessibility, regulatory compliance, and legal implications are addressed along with future research directions and the potential impact of AI on oral oncology care.…”
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Analysis of Financial Speculators’ Herd Behaviour Impact on the Instability of Commodity Prices. Evidence from Weekly WTI Crude Oil Market Data Using Uncertainty Theory (2018–2024)... by Tebache Djamal, Chetbani Saida

“…Methodology: The authors approach relies on introducing uncertainty theory and VNM1 expected utility, rather than relying on ARDL modelling and dummy variables over the period 2018–2024, using weakly data provided by the CFTC. Results: Our findings indicate the significant effect of variables, buying and selling positions of financial speculators and the war in Ukraine, namely increasing mimetic behavior of traders’ and financial speculators’ impact on prices. …”
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Identification and assessment of hub genes and miRNAs coregulatory associated with immune infiltrations and drug interactions in latent tuberculosis based on MicroarrayData analysi... by PhongSon Dinh, ChauMyThanh Tran, ThiPhuongHoai Dinh, Hai-Anh Ha, Aigul Utegenova, Awais Ali, Abdulaziz Alamri

“…High-throughput sequencing data of genes and miRNAs from individuals at different TB stages were obtained from NCBI. …”
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Artificial intelligence as an enabler for achieving human resource resiliency: past literature, present debate and future research directions by Gayatri Panda, Manoj Kumar Dash, Ashutosh Samadhiya, Anil Kumar, Eyob Mulat-weldemeskel

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Machine Learning-Based Analysis of Travel Mode Preferences: Neural and Boosting Model Comparison Using Stated Preference Data from Thailand’s Emerging High-Speed Rail Network by Chinnakrit Banyong, Natthaporn Hantanong, Supanida Nanthawong, Chamroeun Se, Panuwat Wisutwattanasak, Thanapong Champahom, Vatanavongs Ratanavaraha, Sajjakaj Jomnonkwao

“…The analysis leverages stated preference (SP) data and employs Bayesian optimization in conjunction with a stratified 10-fold cross-validation scheme to ensure model robustness. …”
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Enhancing Human Knowledge and Capabilities with Artificial Intelligence Tools for Education by Emerson Abraham Jackson, Hudson F. Jackson

“…The study suggests that AI significantly improves data processing capabilities, leading to notable advancements in educational research and personalised learning. …”
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The relationship between goodwill and capital structure and the moderating effect of financial market development by Oli Ahad Thakur, Matemilola Bolaji Tunde, Bany-Ariffin Amin Noordin, Md. Kausar Alam, Muhammad Agung Prabowo

“…The article collects large samples of listed firms from 23 developing and nine developed countries and applied the panel data techniques. This research used firm-level data from the DataStream database for both developed and developing countries. …”
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Domain adaptation of deep neural networks for tree part segmentation using synthetic forest trees by Mitch Bryson, Ahalya Ravendran, Celine Mercier, Tancred Frickey, Sadeepa Jayathunga, Grant Pearse, Robin J.L. Hartley

“…This paper explores using synthetic data of realistic forest trees to train deep learning models for tree part segmentation from real forest LiDAR data. …”
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Socioeconomic Inequalities in Body Mass Index across Adulthood: Coordinated Analyses of Individual Participant Data from Three British Birth Cohort Studies Initiated in 1946, 1958... by David Bann, William Johnson, Leah Li, Diana Kuh, Rebecca Hardy

“…Harmonized social class-based SEP data (Registrar General's Social Class) was ascertained in childhood (father's class at 10/11 y) and adulthood (42/43 years), and BMI repeatedly across adulthood, spanning 1966 to 2012. …”
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Comorbidity health pathways in heart failure patients: A sequences-of-regressions analysis using cross-sectional data from 10,575 patients in the Swedish Heart Failure Registry. by Claire A Lawson, Ivonne Solis-Trapala, Ulf Dahlstrom, Mamas Mamas, Tiny Jaarsma, Umesh T Kadam, Anna Stromberg

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