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stomach cancer exosome based detection  (Exosome Diagnostics)

 
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    Structured Review

    Exosome Diagnostics stomach cancer exosome based detection
    Integration of liquid biopsy and artificial intelligence for precision oncology Current and emerging applications of artificial intelligence (AI)-integrated exosome analysis in oncology. At present, exosomes isolated from various body fluids are profiled for molecular contents (nucleic acids, proteins, lipids), which are analyzed via AI algorithms to enable biomarker discovery, early cancer detection, and optimization <t>of</t> <t>exosome-based</t> therapeutics Future directions include the development of multimodal AI systems integrating exosomal multi-omics with clinical and imaging data to support intelligent diagnostic and prognostic platforms. AI-driven microfluidic devices will facilitate real-time exosome monitoring and standardized, large-scale analyses, ultimately advancing precision medicine
    Stomach Cancer Exosome Based Detection, supplied by Exosome Diagnostics, 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/stomach+cancer+exosome+based+detection/based+cancer+detection+exosome+stomach/pmc12980980-52-0-2
    Average 86 stars, based on 1 article reviews
    stomach cancer exosome based detection - by Bioz Stars, 2026-09
    86/100 stars

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    1) Product Images from "Mechanisms of tumor-derived extracellular vesicle-mediated immunometabolic reprogramming and immunotherapeutic resistance"

    Article Title: Mechanisms of tumor-derived extracellular vesicle-mediated immunometabolic reprogramming and immunotherapeutic resistance

    Journal: Molecular Cancer

    doi: 10.1186/s12943-025-02556-8

    Integration of liquid biopsy and artificial intelligence for precision oncology Current and emerging applications of artificial intelligence (AI)-integrated exosome analysis in oncology. At present, exosomes isolated from various body fluids are profiled for molecular contents (nucleic acids, proteins, lipids), which are analyzed via AI algorithms to enable biomarker discovery, early cancer detection, and optimization of exosome-based therapeutics Future directions include the development of multimodal AI systems integrating exosomal multi-omics with clinical and imaging data to support intelligent diagnostic and prognostic platforms. AI-driven microfluidic devices will facilitate real-time exosome monitoring and standardized, large-scale analyses, ultimately advancing precision medicine
    Figure Legend Snippet: Integration of liquid biopsy and artificial intelligence for precision oncology Current and emerging applications of artificial intelligence (AI)-integrated exosome analysis in oncology. At present, exosomes isolated from various body fluids are profiled for molecular contents (nucleic acids, proteins, lipids), which are analyzed via AI algorithms to enable biomarker discovery, early cancer detection, and optimization of exosome-based therapeutics Future directions include the development of multimodal AI systems integrating exosomal multi-omics with clinical and imaging data to support intelligent diagnostic and prognostic platforms. AI-driven microfluidic devices will facilitate real-time exosome monitoring and standardized, large-scale analyses, ultimately advancing precision medicine

    Techniques Used: Isolation, Biomarker Discovery, Imaging, Diagnostic Assay, Clinical Proteomics

    Related Articles

    Biomarker Discovery:

    Article Title: Mechanisms of tumor-derived extracellular vesicle-mediated immunometabolic reprogramming and immunotherapeutic resistance
    Article Snippet: Plasma Exosome RNA to Diagnose Prostate Cancer , Enrolling by invitation , Prostate cancer/ Diagnosis , Enrollment number: 1200 (1)The diagnostic efficacy of plasma exo-RNA panel alone in diagnosing Pca (2)Diagnostic efficacy of plasma exo-RNA panel in diagnosing csPCa, insignPCa, and its comparison with other imaging methods or blood tests , Start: 2021.3.12 Completion: 2025.7.31 , NCT06604130. .. Stomach Cancer Exosome-based Detection , Completed , Gastric cancer/ Diagnosis , Enrollment number: 809 (1)Sensitivity (2)Specificity (3)Proportion of correct predictions (true positives and true negatives) among the total cases (i.e., accuracy) , Start: 2023.3.15 Completion: 2024.6.15 , NCT06342427. .. A Prospective Study of Predicting Prognosis and Recurrence of Thyroid Cancer Via New Biomarkers, Urinary Exosomal Thyroglobulin and Galectin-3 , Active, not recruiting , Thyroid cancer/ Prognosis , Enrollment number: 74 The correlation of outcome (including recurrence, lymph nodes metastasis) together with unknown/fresh biomarkers: Thyroglobulin, galectin-3, Calprotectin A8, Calprotectin A9, TKT, Annexin II, Afamin, Keratin 8, Keratin 9, Angiopoietin-1, and TIMP , Start: 2018.8.3 Completion: 2023.7.31 , NCT03488134.

    Whole Blood Assay:

    Article Title: Multidimensional insights into exosomes in hepatocellular carcinoma: from genesis to clinical application
    Article Snippet: .. NCT06342427 , Stomach Cancer Exosome - based Detection , COMPLETED , Develop and validate a blood assay for non - invasive gastric cancer detection. , OBSERVATIONAL. ..



    Similar Products

    stomach cancer exosome based detection  (Exosome Diagnostics)
    86
    Exosome Diagnostics stomach cancer exosome based detection
    Integration of liquid biopsy and artificial intelligence for precision oncology Current and emerging applications of artificial intelligence (AI)-integrated exosome analysis in oncology. At present, exosomes isolated from various body fluids are profiled for molecular contents (nucleic acids, proteins, lipids), which are analyzed via AI algorithms to enable biomarker discovery, early cancer detection, and optimization <t>of</t> <t>exosome-based</t> therapeutics Future directions include the development of multimodal AI systems integrating exosomal multi-omics with clinical and imaging data to support intelligent diagnostic and prognostic platforms. AI-driven microfluidic devices will facilitate real-time exosome monitoring and standardized, large-scale analyses, ultimately advancing precision medicine
    Stomach Cancer Exosome Based Detection, supplied by Exosome Diagnostics, 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/stomach+cancer+exosome+based+detection/based+cancer+detection+exosome+stomach/pmc12980980-52-0-2
    Average 86 stars, based on 1 article reviews
    stomach cancer exosome based detection - by Bioz Stars, 2026-09
    86/100 stars
    		  Buy from Supplier

    Image Search Results


    Integration of liquid biopsy and artificial intelligence for precision oncology Current and emerging applications of artificial intelligence (AI)-integrated exosome analysis in oncology. At present, exosomes isolated from various body fluids are profiled for molecular contents (nucleic acids, proteins, lipids), which are analyzed via AI algorithms to enable biomarker discovery, early cancer detection, and optimization of exosome-based therapeutics Future directions include the development of multimodal AI systems integrating exosomal multi-omics with clinical and imaging data to support intelligent diagnostic and prognostic platforms. AI-driven microfluidic devices will facilitate real-time exosome monitoring and standardized, large-scale analyses, ultimately advancing precision medicine

    Journal: Molecular Cancer

    Article Title: Mechanisms of tumor-derived extracellular vesicle-mediated immunometabolic reprogramming and immunotherapeutic resistance

    doi: 10.1186/s12943-025-02556-8

    Figure Lengend Snippet: Integration of liquid biopsy and artificial intelligence for precision oncology Current and emerging applications of artificial intelligence (AI)-integrated exosome analysis in oncology. At present, exosomes isolated from various body fluids are profiled for molecular contents (nucleic acids, proteins, lipids), which are analyzed via AI algorithms to enable biomarker discovery, early cancer detection, and optimization of exosome-based therapeutics Future directions include the development of multimodal AI systems integrating exosomal multi-omics with clinical and imaging data to support intelligent diagnostic and prognostic platforms. AI-driven microfluidic devices will facilitate real-time exosome monitoring and standardized, large-scale analyses, ultimately advancing precision medicine

    Article Snippet: Stomach Cancer Exosome-based Detection , Completed , Gastric cancer/ Diagnosis , Enrollment number: 809 (1)Sensitivity (2)Specificity (3)Proportion of correct predictions (true positives and true negatives) among the total cases (i.e., accuracy) , Start: 2023.3.15 Completion: 2024.6.15 , NCT06342427.

    Techniques: Isolation, Biomarker Discovery, Imaging, Diagnostic Assay, Clinical Proteomics