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integrated clinformatics data mart  (Optum Inc)

 
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    Optum Inc integrated clinformatics data mart
    Integrated Clinformatics Data Mart, supplied by Optum Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/data+integration/clinformatics+data+database+mart/pm41946549-38-15-14
    Average 86 stars, based on 1 article reviews
    integrated clinformatics data mart - by Bioz Stars, 2026-10
    86/100 stars

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    Related Articles

    Medications:

    Article Title: Clinical outcomes and costs associated with viral lower respiratory tract disease hospitalisations.
    Article Snippet: Ethics approval All data in Optum’s deidentified Clinformatics Data Mart Database are Health Insurance Portability and Accountability Act (1996) compliant and deidentified to adhere with all relevant US regulations and privacy laws.

    Article Title: Clinical outcomes and costs associated with viral lower respiratory tract disease hospitalisations.
    Article Snippet: All data in Optum’s deidentified Clinformatics Data Mart Database are Health Insurance Portability and Accountability Act (1996) compliant and B M J O pen R espiratory R esearch: first published as 10.1136/bm jresp-2025-003552 on 18 June 2026.

    Drug discovery:

    Article Title: Clinical outcomes and costs associated with viral lower respiratory tract disease hospitalisations.
    Article Snippet: Ethics approval All data in Optum’s deidentified Clinformatics Data Mart Database are Health Insurance Portability and Accountability Act (1996) compliant and deidentified to adhere with all relevant US regulations and privacy laws.

    Article Title: Clinical outcomes and costs associated with viral lower respiratory tract disease hospitalisations.
    Article Snippet: All data in Optum’s deidentified Clinformatics Data Mart Database are Health Insurance Portability and Accountability Act (1996) compliant and B M J O pen R espiratory R esearch: first published as 10.1136/bm jresp-2025-003552 on 18 June 2026.



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    Image Search Results


    Single-cell analysis of HCC TME and hepatocyte metabolic reprogramming. (A) UMAP dimensionality reduction plot showing 22 initial cell clusters. (B) Annotation of 7 major cell populations based on established marker genes. (C) Expression patterns of CD274 (PD-L1) and CTLA4 in various cell types before and after immunotherapy. (D) Cellular composition across samples. Sample H68 exhibits the highest proportion of Hepatocytes. (E) UMAP plot of hepatocyte subclustering analysis based on metabolic-related gene expression profiles, identifying 5 subpopulations (clusters 0-4). Cluster 1 is significantly enriched in post-treatment samples. (F) KEGG pathway enrichment analysis reveals functional clustering of hepatocyte subpopulations (clusters 0-4). (G) Hierarchical clustering of significantly enriched pathways within these clusters. (H) Expression patterns of core genes within the Pyruvate metabolism pathway across the five hepatocyte subpopulations. Genes in this pathway exhibit significantly elevated expression in Cluster 1.

    Journal: Frontiers in Immunology

    Article Title: The inhibitory effect of hepatic cancer energy metabolism on immune checkpoint therapy: perspectives from single-cell multi-omics analysis

    doi: 10.3389/fimmu.2026.1753670

    Figure Lengend Snippet: Single-cell analysis of HCC TME and hepatocyte metabolic reprogramming. (A) UMAP dimensionality reduction plot showing 22 initial cell clusters. (B) Annotation of 7 major cell populations based on established marker genes. (C) Expression patterns of CD274 (PD-L1) and CTLA4 in various cell types before and after immunotherapy. (D) Cellular composition across samples. Sample H68 exhibits the highest proportion of Hepatocytes. (E) UMAP plot of hepatocyte subclustering analysis based on metabolic-related gene expression profiles, identifying 5 subpopulations (clusters 0-4). Cluster 1 is significantly enriched in post-treatment samples. (F) KEGG pathway enrichment analysis reveals functional clustering of hepatocyte subpopulations (clusters 0-4). (G) Hierarchical clustering of significantly enriched pathways within these clusters. (H) Expression patterns of core genes within the Pyruvate metabolism pathway across the five hepatocyte subpopulations. Genes in this pathway exhibit significantly elevated expression in Cluster 1.

    Article Snippet: Integrated single-cell RNA-seq data (GEO, Mendeley) were analyzed using Seurat, AUCell, pySCENIC, CellChat, and Monocle.

    Techniques: Single-cell Analysis, Marker, Expressing, Gene Expression, Functional Assay