Integrative machine learning and bioinformatics analysis to identify cellular senescence-related genes and potential therapeutic targets in ulcerative colitis and colorectal cancer by Tianle Xue, Yunpeng Chen, Xiaomeng Li, Zhixiang Zhou, Qiyang Chen

“…An integrated machine learning (IML) model—utilizing 12 algorithms with 10-fold cross-validation—was constructed to pinpoint key diagnostic biomarkers. …”
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Mapping and quantifying deforestation in the Zambezi ecoregion of Central-Southern Africa: extent and spatial structure by Héritier Khoji Muteya, Héritier Khoji Muteya, Dieu-donné N’tambwe Nghonda, Dieu-donné N’tambwe Nghonda, François Malaisse, Jan Bogaert, Yannick Useni Sikuzani

“…IntroductionForests in the Zambezi ecoregion play a critical role in sustaining biodiversity and the livelihoods of over 100 million people across Southern and Central Africa. …”
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Machine learning-based in-silico analysis identifies signatures of lysyl oxidases for prognostic and therapeutic response prediction in cancer by Qingyu Xu, Ling Ma, Alexander Streuer, Eva Altrock, Nanni Schmitt, Felicitas Rapp, Alessa Klär, Verena Nowak, Julia Obländer, Nadine Weimer, Iris Palme, Melda Göl, Hong-hu Zhu, Wolf-Karsten Hofmann, Daniel Nowak, Vladimir Riabov

“…Apart from glioma, our data revealed the role of LOXL3 overexpression in macrophages and in predicting the response to immune checkpoint blockade in bladder and renal cancers. …”
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Direct Estimation of Forest Aboveground Biomass from UAV LiDAR and RGB Observations in Forest Stands with Various Tree Densities by Kangyu So, Jenny Chau, Sean Rudd, Derek T. Robinson, Jiaxin Chen, Dominic Cyr, Alemu Gonsamo

“…Canada’s vast forests play a substantial role in the global carbon balance but require laborious and expensive forest inventory campaigns to monitor changes in aboveground biomass (AGB). …”
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Case-control study combined with machine learning techniques to identify key genetic variations in GSK3B that affect susceptibility to diabetic kidney diseases by Jinfang Song, Yi Xu, Liu Xu, Tingting Yang, Ya Chen, Changjiang Ying, Qian Lu, Tao Wang, Xiaoxing Yin

“…Abstract The role of genetic susceptibility in early warning and precise treatment of diabetic kidney disease (DKD) requires further investigation. …”
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Predictive value of dendritic cell-related genes for prognosis and immunotherapy response in lung adenocarcinoma by Zihao Sun, Mengfei Hu, Xiaoning Huang, Minghan Song, Xiujing Chen, Jiaxin Bei, Yiguang Lin, Size Chen

“…Dendritic cells (DCs) play a significant role in the tumor microenvironment and the DCs-related gene signature may be used to predict treatment outcome. …”
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Network analysis of chronic disease among middle-aged and older adults in China: a nationwide survey by Chen Chen, Chen Chen, Hongfeng Wu, Likun Yang, Ke Kan, Xinping Zhang, Su Zhang, Rufu Jia, Xian Li

“…Heart disease showed centrality in the multimorbidity network, while memory-related diseases played a bridging role. Key factors associated with multimorbidity included age, gender, pain, sleep, physical activity, depression, and education. …”
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Comparison and Analysis on the Existing Single-Herbal Strategies against Viral Myocarditis by Yu Cao, Yang Liu, Tian Zhang, Jing Pan, Wei Lei, Boli Zhang

“…SLC6A2, SLC6A4, NOS2, PPARA, PPARG, ACHE, CYP2C19, CYP51A1, and CHRM2 were equally targeted by six herbs and identified as viral myocarditis-associated symbols. MCODE algorithm exposed the hub role of SRC and EGFR in strategies without Jianghuang. …”
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Prognosis model of patients with breast cancer based on metabolism-related LncRNAs by Dan Zhang, Shiwei Ma, Liling Yang, Hongyuan Liu, Han Jiang, Yan Wang

“…Abstract Objective Metabolism-related lncRNAs may play a significant role in the occurrence and development of breast cancer. …”
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Identification of the metabolic protein ATP5MF as a potential therapeutic target of TNBC by Kaiyan Chen, Yingchun Wu, Linfeng Xu, Changyong Wang, Jinqiu Xue

“…High ATP5MF expression was associated with poor prognosis of non-BRCA1/2 mutation TNBC. …”
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Integrated single-cell and bulk RNA dequencing to identify and validate prognostic genes related to T Cell senescence in acute myeloid leukemia by Mengyao Sha, Jun Chen, Haifeng Hou, Huaihui Dou, Yan Zhang

“…This study aimed to explore the role of T-cell senescence-related genes in AML progression using single-cell RNA sequencing (scRNA-seq), bulk RNA sequencing (RNA-seq), and survival data of patients with AML in the TCGA database.MethodsThe Uniform Manifold Approximation and Projection (UMAP) algorithm was used to identify different cell clusters in the GSE116256, and differentially expressed genes (DEGs) in T-cells were identified using the FindAllMarkers analysis. …”
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Machine Learning Introduces Electrophysiology Assessment as the Best Predictor for the Recovery Prognosis of Spinal Cord Injury Patients for Personalized Rehabilitation Approaches by Dionysia Chrysanthakopoulou, Charalampos Matzaroglou, Eftychia Trachani, Constantinos Koutsojannis

“…We aim to clarify the prognostic role of electrophysiological testing (SSEPs, MEPs, and nerve conduction studies (NCSs)) in SCI. …”
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Integrated multiomics analysis and machine learning refine neutrophil extracellular trap-related molecular subtypes and prognostic models for acute myeloid leukemia by Fangmin Zhong, Fangyi Yao, Zihao Wang, Jing Liu, Bo Huang, Xiaozhong Wang

“…BackgroundNeutrophil extracellular traps (NETs) play pivotal roles in various pathological processes. The formation of NETs is impaired in acute myeloid leukemia (AML), which can result in immunodeficiency and increased susceptibility to infection.MethodsThe gene set variation analysis (GSVA) algorithm was employed for the calculation of NET score, while the consensus clustering algorithm was utilized to identify molecular subtypes. …”
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Deciphering the lung microbiota in COVID-19 patients: insights from culture analysis, FilmArray pneumonia panel, ventilation impact, and mortality trends by Francisco José Molina, Luz Elena Botero, Juan Pablo Isaza, Luz Elena Cano, Lucelly López, Luis Valdés, Angela J. Arévalo Arbeláez, Isabel Moreno, Laura S. Pérez Restrepo, Jaime Usuga, Karl Ciuoderis, Juan Pablo Hernandez, Rubén López-Aladid, Laia Fernández, Antoni Torres

“…Abstract Few studies have analyzed the role of the lung microbiome in the diagnosis of pulmonary coinfection in ventilated ICU COVID-19 patients. …”
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Cuproptosis-related lncRNA predicts prognosis and immune pathways in osteosarcoma patients by LIAO Jun, FENG Yanbin, XI Deshuang, ZONG Shaohui

“…Conclusion CRLs are closely associated with the prognosis of OS patients. A prognostic model constructed based on CRLs accurately predicts the prognosis of OS patients, and further in-depth study of the role of CRLs in OS may contribute to the development of more reliable and personalized therapeutic regimens.…”
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EcoHIV infection of mice establishes latent viral reservoirs in T cells and active viral reservoirs in macrophages that are sufficient for induction of neurocognitive impairment. by Chao-Jiang Gu, Alejandra Borjabad, Eran Hadas, Jennifer Kelschenbach, Boe-Hyun Kim, Wei Chao, Ottavio Arancio, Jin Suh, Bruce Polsky, JoEllyn McMillan, Benson Edagwa, Howard E Gendelman, Mary Jane Potash, David J Volsky

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Identification of pyrimidine metabolism-based molecular subtypes and prognostic signature to predict immune landscape and guide clinical treatment in prostate cancer by Yu-Zhong Yu, Xiao Xie, Mao-Ping Cai, Ya-Ying Hong, Yang-Zi Ren, Xi Kang, Hai-Chen Yan, Yang Xiong, Hong Chen, Xing-Cheng Wu, Dao-Sheng Luo, Shan-Chao Zhao

“…Background We previously described the enrichment of plasma exosome metabolites in CRPC, PCa, and TFC cohorts, and found significant differences in pyrimidine metabolites. The PMGs is associated with the clinical prognosis of several cancers, but its biological role in PCa is still unclear.Methods This study extracted 98 reliable PMGs, and analyzed their somatic mutations, expression levels, and prognostic significance. …”
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A comprehensive analysis identified an autophagy-related risk model for predicting recurrence and immunotherapy response in stage I lung adenocarcinoma by Hongmei Zheng, Songqing Fan, Hongjing Zang, Jiadi Luo, Long Shu, Jinwu Peng

“…Among these genes, MAP1LC3B played a crucial role in PPI network and was down-regulated in tumor tissues both in TCGA and local cohort. …”
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Metabolism and Microstructure of the Small Intestine Wall in Patients With Colorectal Cancer by M. V. Bagryantsev, M. G. Ryabkov, E. L. Bederina, M. M. Loginova, A. V. Bazayev, A. I. Abelevich, I. L. Dezortsev, S. S. Bunova, M. V. Shirmanova, V. I. Shcheslavskiy, E. B. Kiseleva

“…At the same time, the severity of microstructural disorders in the wall of the small intestine is associated with the stage of tumor development in the colon. …”
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Immuno-transcriptomic analysis based on machine learning identifies immunity signature genes of chronic rhinosinusitis with nasal polyps by Zhaonan Xu, Qing Hao, Bingrui Yan, Qiuying Li, Xuan Kan, Qin Wu, Hongtian Yi, Xianji Shen, Lingmei Qu, Peng Wang, Yanan Sun

“…Abstract Chronic rhinosinusitis with nasal polyps (CRSwNP) is a prevalent inflammatory disease where immunomodulation plays a pivotal role. However, immuno-transcriptomic characteristics and its clinical relevance remains largely known. …”
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