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10021 results

Full text 2026

Decoding immunotherapy response through computational modeling

Li B, Luo R, Huang K, et al.

Immunotherapy has seen success in treating patients with cancer, but variable responses underscore the need for effective patient stratification and therapy planning. Computational tools integrating multi-omics, imaging and machine learning have advanced, yet reliable personalized …

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Bioinformatics
Full text 2026

Immune Infiltration and Mitochondrial Function in Diabetic Kidney Disease: WGCNA and Machine Learning Identified Hub Genes with Clinical Validation

Duan S, Zhou Q, Shi Y, et al.

Diabetic kidney disease (DKD) lacks specific biomarkers reflecting the interplay between mitochondrial dysfunction and immune microenvironment remodeling. To address this, we integrated multi-dataset transcriptomics (GEO, MitoCarta 3.0, GeneCards) with Weighted Gene Co-expression Network Analysis, protein-protein …

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Bioinformatics Transcriptomics
Full text 2026

Integrated Transcriptomics Reveals Evolutionary Trajectories and Cell Density-Dependent Mechanisms in Aldosterone-Producing Adenomas

Sun Z, Jing C, Tetti M, et al.

Aldosterone-producing adenomas (APAs) and micronodules (APMs) are histopathological lesions that can cause a prevalent form of secondary hypertension called primary aldosteronism. Using integrated single-cell/nucleus and spatial transcriptomics, it demonstrates substantial heterogeneity between APMs and APAs, …

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Single-Cell Transcriptomics
Full text 2026

Gasdermin E: a missing link in muscle regeneration

Krishna S, Rafael-Fortney JA.

Skeletal muscle has the impressive capacity to completely regenerate even after relatively severe injuries in young individuals, but this process is dysregulated in multiple cell types in the microenvironment in numerous diseases and aging. In …

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Bioinformatics
Full text 2025

Genome-wide association, single-cell, and spatial transcriptomics analyses reveal the role of the STK24-expressing positive cells in LUAD progression and the tumor microenvironment, identifying STK24 as a potential therapeutic target

Liu J, Li H, Jiao Y, et al.

<h4>Background</h4>Lung adenocarcinoma (LUAD), a subtype of non-small cell lung cancer (NSCLC), has high incidence and poor prognosis. Although anti-programmed cell death protein 1 (PD1) therapy and epidermal growth factor receptor (EGFR) inhibitors benefit some patients, …

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Transcriptomics
Full text 2026

Transformer-based ensemble framework for tuberculosis treatment response prediction: multi-omics integration with clinical-grade performance

Ba H, Liu H, Li T, et al.

<h4>Background</h4>Tuberculosis (TB) treatment response prediction is critical for personalized care. We developed an ensemble Transformer framework integrating clinical and transcriptomic data from 467 patients and five GEO datasets (GSE83456, GSE107995, GSE158802, GSE19435, GSE25534).<h4>Methods</h4>Five diverse Transformer …

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Transcriptomics