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Adverse events associated with vismodegib: insights from a real-world pharmacovigilance study using the FAERS database
Published 2025-05-01“…Disproportionality analysis was conducted using four algorithms: Reporting odds ratio, proportional reporting ratio, multi-item gamma Poisson shrinker, and Bayesian confidence propagation neural network to assess the safety profile of vismodegib in clinical practice. …”
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Artificial intelligence-based radiogenomics reveals the potential immunoregulatory role of COL22A1 in glioma and its induced autoimmune encephalitis
Published 2025-03-01“…COL22A1 was also positively correlated with immune checkpoints and immune-regulated genes.ConclusionOur study highlights the critical role of COL22A1 in gliomas and glioma-Induced Autoimmune Encephalitis, demonstrating its strong association with poor prognosis and its significant involvement in tumor immune regulation.…”
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Interpretable machine learning approaches for predicting prostate cancer by using multiple heavy metal exposures based on the data from NHANES 2003–2018
Published 2025-09-01“…Environmental pollution plays a major role in the development of prostate cancer (PCA). …”
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Daily time-use compositions of physical behaviours and its association with evaluative and experienced wellbeing: a multilevel compositional analysis
Published 2025-06-01“…Time-use data were processed using UK Biobank machine learning algorithms. We employed Bayesian multilevel compositional analysis to investigate how time-use behaviours, and reallocating time between behaviours, were associated with both life satisfaction and momentary affective states. …”
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Ocular markers of microangiopathy and their possible association with cardiovascular risk in patients with systemic inflammatory rheumatic diseases: a systematic review
Published 2025-04-01“…Additionally, various cross-sectional and follow-up studies in patients with ARDs have demonstrated associations between ocular vessel changes, traditional CV risk scores, and disease-related characteristics, suggesting a potential role for ocular assessments in CV risk screening. …”
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Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction
Published 2025-06-01“…Functional enrichment analyses delineated the dysregulation of pathways, while weighted gene co-expression network analysis identified hub genes within ribosome biogenesis-associated modules. A multi-algorithm machine learning framework was employed to optimize predictive performance, with model interpretability achieved through SHapley Additive exPlanations and diagnostic accuracy validated by receiver operating characteristic curves. …”
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Activation-induced cytidine deaminase (AID)-associated multigene signature to assess impact of AID in etiology of diseases with inflammatory component.
Published 2011-01-01“…Our data demonstrate the class switch recombination and somatic hypermutation events likely taking place locally in the airways and in addition to the previously highlighted markers and/or targets as IL5 and IgE suggest novel candidate genes to be considered for treatment of nasal polyposis including among others IL13 and CD23. Thus, the algorithm presented herein including the multigene signature approach, analysis of co-regularities and creation of AID-associated functional network gives an integrated view of biological processes and might be further applied to assess role of altered AID expression in etiology of other diseases, in particular, aberrant immunity and cancer.…”
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Influence of multi-species data on gene-disease associations in substance use disorder using random walk with restart models.
Published 2025-01-01“…A major challenge lies in discovering, emphasizing, and characterizing human gene-disease and gene-gene associations. The limitations of data on the role of human gene products in substance use disorder (SUD) makes it challenging to transition from genetic associations to actionable insights. …”
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Village-level climate and weather variability, mediated by village-level crop yield, is associated with linear growth in children in Uganda
Published 2020-10-01“…Normalised rainfall anomaly and total precipitation were derived from the African Rainfall Estimation Algorithm Version 2 product. Linear regression models were used to associate total annual precipitation and anomalies with height-for-age z-scores and to explore the mediating role of crop yield qualitatively. …”
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Translational medicine research on the role of key gene network modulation mediated by procyanidin B2 in the precise diagnosis and treatment of multiple sclerosis
Published 2025-07-01“…Abstract Objective The present study aimed to investigate the potential role and molecular mechanism of procyanidin B2 (PCB2) in the treatment of multiple sclerosis (MS), with the hope of providing novel strategies for the precision treatment of MS. …”
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Prognostic model of lung adenocarcinoma from the perspective of cancer-associated fibroblasts using single-cell and bulk RNA-sequencing
Published 2025-07-01“…Abstract Cancer-associated fibroblasts (CAFs) play important roles in the progression of lung adenocarcinoma (LUAD). …”
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VSIG4 as a tumor-associated macrophage marker predicting adverse prognosis in diffuse large B-cell lymphoma
Published 2025-06-01“…IntroductionDiffuse large B-cell lymphoma (DLBCL) exhibits heterogeneous tumor microenvironment. However, the role of tumor-associated macrophages (TAMs) in the DLBCL tumor microenvironment remains unclear. …”
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Identification and validation of efferocytosis-related biomarkers for the diagnosis of metabolic dysfunction-associated steatohepatitis based on bioinformatics analysis and machine...
Published 2024-10-01“…Efferocytosis, a process implicated in a broad spectrum of chronic inflammatory disorders, has been reported to be associated with the pathogenesis of MASH; however, its precise role remains obscure. …”
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GULP. II. Hierarchical Distribution and Evolution of Young Stellar Structures in NGC 4449
Published 2025-01-01Get full text
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