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Advances in the Gene-Diet Interactions and Human Health
This editorial is for the special volume "Advances in the Gene-Diet Interactions and Human Health", which addresses the applications and importance of Nutrigenomics in promoting health and gene-diet interactions in the prevention of human diseases …
Read PDFEditorial: Potency assays for use in manufacturing cellular immunotherapies
No abstract available.
Read PDFMulti-omics-driven biomarker discovery in autoimmune diseases: a comprehensive review
Autoimmune diseases (ADs) exhibit complex heterogeneity and dynamic pathological mechanisms. Traditional biomarkers face numerous challenges in the diagnosis and treatment of ADs. However, the rapid development of multi-omics technologies and bioinformatics has not only deepened …
Read PDFMulti-omics approaches to major psychiatric disorders
In recent years, major psychiatric disorders have been intensively researched. Studies have investigated the pathophysiology of these disorders in detail and at various molecular levels with several omics techniques, including genomics, epigenomics, transcriptomics, proteomics, and …
Read PDFCorrection: Commentary: RNA transcripts in salivary extracellular vesicle cargo isolated from aged populations
[This corrects the article DOI: 10.3389/fragi.2026.1799802.].
Read PDFNetwork-based analysis and multi-omics approaches for biology and medicine
No abstract available.
Read PDFAuthor Correction: Curing the brain: in search for new astrocyte-specific therapies
No abstract available.
Read PDFInteractions Between Exercise Physiology and Metabolism
Physical inactivity and excess nutritional intake have contributed to a global pandemic of metabolic and non-communicable diseases, resulting in unhealthy fat accumulation, metabolic dysregulation, and a high burden of chronic conditions such as type 2 …
Read PDFWS-SSA: workflow scheduling in cloud computing using salp swarm algorithm
Effective process scheduling is mandatory in cloud computing. It optimizes the use of resources, reduces the execution time, and reduces the operating cost. This study introduces a new workflow scheduling algorithm based on the salp …
Read PDFscMILD: Single-cell multiple instance learning for sample classification and associated subpopulation discovery
Linking cellular states to clinical phenotypes is a major challenge in single-cell analysis. Here, we present single-cell multiple instance learning for sample classification and associated subpopulation discovery (scMILD), a weakly supervised multiple instance learning framework …
Read PDFSingle-cell landscape of immune cells in multiple autoimmune diseases
Autoimmune pathologies arise from dysregulated immune activation, yet conserved molecular programs across autoimmune contexts remain incompletely characterized. Here, we analyzed integrative single-cell RNA sequencing data of over 1.3 million cells from 239 samples spanning six …
Read PDFSingle-cell-based identification of drug synergy with immunotherapy via tumor microenvironment remodeling
<h4>Background</h4>Identifying effective therapeutic drugs in the intricate tumor microenvironment (TME) is challenging, further complicated by the lack of a systematic framework for analyzing TME perturbations in response to therapeutic interventions.<h4>Methods</h4>To address this, we established the …
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