Integrative analysis of multi-omics data identified PLG as key gene related to Anoikis resistance and immune phenotypes in hepatocellular carcinoma by Xueyan Wang, Lei Gao, Haiyuan Li, Yanling Ma, Bofang Wang, Baohong Gu, Xuemei Li, Lin Xiang, Yuping Bai, Chenhui Ma, Hao Chen

“…In this study, we employed advanced clustering algorithms to analyze and integrate multi-omics data from HCC patients, with the objective of identifying key genes that possess prognostic potential associated with the Anoikis resistance phenotype. …”
Get full text

Intracranial atherosclerosis: structure, clinical aspects and risk factors by Marine M. Tanashyan, Andrey S. Mazur, Anton A. Raskurazhev, Anna N. Berliand, Marina V. Dreval, Polina I. Kuznetsova, Оlga V. Lagoda

“…Active research is underway to determine the prevalence of intracranial atherosclerosis across different ethnic groups, the role of modifiable and non-modifiable risk factors in its pathogenesis, and the advances in diagnostic algorithms for patients with extra-/intracranial atherosclerosis. …”
Get full text

Integrating Bulk RNA and Single-Cell Sequencing Data Reveals Genes Related to Energy Metabolism and Efferocytosis in Lumbar Disc Herniation by Lianjun Yang, Jinxiang Li, Zhifei Cui, Lihua Huang, Tao Chen, Xiang Liu, Hai Lu

“…<b>Background/Objectives</b>: Lumbar disc herniation (LDH) is the most common condition associated with low back pain, and it adversely impacts individuals’ health. …”
Get full text

Key gene screening and diagnostic model establishment for acute type a aortic dissection by Yue Pan, Zhiming Yu, Xiaoyu Qian, Xuesong Zhang, Qun Xue, Weizhang Xiao

“…Recent studies highlight the role of immune dysregulation, vascular smooth muscle cell (VSMC) apoptosis, and metabolic-epigenetic interactions in AD pathogenesis, underscoring the need for novel biomarkers and therapeutic targets.ObjectiveThis study aims to identify critical genes and molecular pathways associated with ATAAD, develop a multi-omics diagnostic model, and evaluate potential therapeutic interventions to improve clinical outcomes.MethodsTranscriptome datasets from the Gene Expression Omnibus (GEO) database were analyzed using differential expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning algorithms (SVM, Random Forest, LASSO regression). …”
Get full text

The Citation Economy as a Site of Extraction for Surveillance Publishing by Danielle Colbert-Lewis, lawrence maminta, Kelly McElroy, Graeme Slaght, Mark Swartz

Get full text

A Critical Review of the Prospect of Integrating Artificial Intelligence in Infectious Disease Diagnosis and Prognosis by Shuaibu Abdullahi Hudu, Ahmed Subeh Alshrari, Esra’a Jebreel Ibrahim Abu-Shoura, Amira Osman, Abdulgafar Olayiwola Jimoh

“…It also addresses the challenges and ethical considerations associated with AI, including data privacy, algorithmic bias, and equitable access to healthcare. …”
Get full text

Addressing the Ethical, Legal, and Social Issues of Healthtech in Education: Insights From Japan by Motofumi Sumiya, Tomoko Nishimura, Kyoko Aizaki, Ikue Hirata, Nobuaki Tsukui, Yuko Osuka, Manabu Wakuta, Atsushi Senju

“…Expert consultations were conducted through a project consisting of members with expertise related to healthtech, including developers, a teacher, a school counselor, and university researchers, leading to the identification of 52 ELSI concerns categorized into 8 domains: consent, rights and privacy, algorithms, information management, evaluation, use, role of public institutions, and relationships with private companies. …”
Get full text

AI-Powered Social Media for Development in Low- and Middle-Income Countries by Borany Penh

“…Its unprecedented analytical, personalization, and scaling capabilities could transform economic, health, and other development outcomes in low- and middle-income countries (LMICs). However, issues associated with the AI technologies that underlie social media platforms, such as algorithmic bias and misinformation, and emerging risks of AI persuasion and autonomy could undermine LMICs’ social and human development goals, particularly those with nascent AI governance and capacities. …”
Get full text

Assessing Functional Connectivity Dynamics During Cognitive Tasks Involving the Dorsal Stream by Huifang E. Wang, Jorge Gonzalez-Martinez, Viktor Jirsa, Patrick Chauvel, F.-Xavier Alario, Catherine Liegeois-Chauvel

“…The dorsal language stream plays a crucial role in linking auditory and visual information with motor functions during language-related tasks. …”
Get full text

Multi-omics analysis of the effects of pla2g4a on the prognosis of various cancers and its experimental validation in breast cancer cell lines by Yao Qian, Quan Yuan, Hao Yu, Rongjie Ye, Ming Niu, Feng Liu

“…This study aims to identify critical genes involved in Breast Cancer (BC)-associated PREs and to evaluate their role in cancer prognosis. …”
Get full text

Programmed cell death signatures-driven microglial transformation in Alzheimer’s disease: single-cell transcriptomics and functional validation by Mi-Mi Li, Ying-Xia Yang, Ya-Li Huang, Shu-Juan Wu, Wan-Li Huang, Li-Chao Ye, Ying-Ying Xu

“…An integrated machine learning framework, combining 12 algorithms was used to construct a PCDS model. The performance of PCDS was validated using multiple independent cohorts. …”
Get full text

Multi-omics Analysis Reveals Molecular Subtype of Mitochondrial Oxidative Stress and Prognostic Model Development in Sepsis by Baolong Zhu, Jinxiang Wang, Yan Wang

“…Immune infiltration characteristics were analyzed using the Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) and single-sample Gene Set Enrichment Analysis (ssGSEA) algorithms. Single-cell RNA sequencing and in vitro experiments provided additional evidence for the pivotal role of RNA-binding protein, ribonuclease 2 (RNASE2) in the regulation of mitochondrial oxidative stress in sepsis. …”
Get full text

Research and analysis of differential gene expression in CD34 hematopoietic stem cells in myelodysplastic syndromes. by Min-Xiao Wang, Chang-Sheng Liao, Xue-Qin Wei, Yu-Qin Xie, Peng-Fei Han, Yan-Hui Yu

“…After comprehensive evaluation, we ultimately selected three algorithms-Lasso regression, random forest, and support vector machine (SVM)-as our core predictive models. …”
Get full text

Exploration of metastasis-related signatures in osteosarcoma based on tumor microenvironment by integrated bioinformatic analysis by Shiyao Liao, Xing Gao, Kai Zhou, Yao Kang, Lichen Ji, Xugang Zhong, Jun Lv

“…These DEGs basically played fundamental roles in immune response relevant GO terms and were clustered into 9 different modules. …”
Get full text

Integrative machine learning model of RNA modifications predict prognosis and treatment response in patients with breast cancer by Tao Wang, Shu Wang, Zhuolin Li, Jie Xie, Qi Jia, Jing Hou

“…Methods We retrospectively analyzed 15 independent breast cancer cohorts to explore the role of RNA modifications in the prognosis of patients with breast cancer. …”
Get full text

Deciphering the heterogeneity of epithelial cells in pancreatic ductal adenocarcinoma: implications for metastasis and immune evasion by Jie Liu, Hui Li, Xiuyun Lin, Jiani Xiong, Guangfeng Wu, Lingyan Ding, Bin Lin

“…Methods Single-cell RNA-sequencing data from two datasets (GSE154778 and GSE158356) were integrated using the Harmony algorithm, followed by quality control, clustering, and differential gene expression analysis. …”
Get full text

Integrating Single‐Cell Transcriptomics and Machine Learning to Define an ac4C Gene Signature in Lung Adenocarcinoma by Yuan Wang, Wei Su, Guangyao Zhou, Yijie Wang, Chunnuan Wu, Pengpeng Zhang, Lianmin Zhang

“…Ten machine learning algorithms were applied to develop and validate an ac4C‐related gene signature (ARGSig) for prognosis prediction across multiple independent cohorts. …”
Get full text

Survey of Architectural Floor Plan Retrieval Technology Based on 3ST Features by Hongxing Ling, Guangsheng Luo, Nanrun Zhou, Xiaoyan Jiang

“…This paper presents a comprehensive exploration of four primary features essential for the retrieval of building floor plans: semantic features, spatial features, shape features, and texture features (collectively referred to as 3ST features). The extraction algorithms and underlying principles associated with these features are thoroughly analyzed, with a focus on advanced methods such as wavelet transforms and Fourier shape descriptors. …”
Get full text

METTL1-driven nucleotide metabolism reprograms the immune microenvironment in hepatocellular carcinoma: a multi-omics approach for prognostic biomarker discovery by Xie Weng, Yangyue Huang, Zhuoya Fu, Xingli Liu, Fuli Xie, Jiale Wang, Qiaohua Zhu, Dayong Zheng, Dayong Zheng

“…This regulation is associated with an immunosuppressive tumor microenvironment, reduced infiltration of activated T cells, and poorer clinical outcomes. …”
Get full text

Potential biomarkers and immune infiltration linking endometriosis with recurrent pregnancy loss based on bioinformatics and machine learning by Jianhui Chen, Qun Li, Xiaofang Liu, Fang Lin, Yaling Jing, Jiayan Yang, Lianfang Zhao

“…Protein-protein interaction (PPI) network and two machine learning algorithms were applied to identify the common core genes in both diseases. …”
Get full text