BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

139 related articles for article (PubMed ID: 32336982)

  • 1. Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network.
    Park I; Yoon B
    J Informetr; 2018 Nov; 12(4):1199-1222. PubMed ID: 32336982
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Entropy and gravity concepts as new methodological indexes to investigate technological convergence: patent network-based approach.
    Cho Y; Kim M
    PLoS One; 2014; 9(6):e98009. PubMed ID: 24914959
    [TBL] [Abstract][Full Text] [Related]  

  • 3. China's non-ferrous metal recycling technology convergence and driving factors: A quadratic assignment procedure analysis based on patent collaboration-based network structural hole.
    Luo K; Zor S
    PLoS One; 2022; 17(8):e0271694. PubMed ID: 35930587
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Uncovering Innovation Features and Emerging Technologies in Molecular Biology through Patent Analysis.
    Pereira CG; Porto GS
    Methods Mol Biol; 2018; 1674():15-34. PubMed ID: 28921425
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The nature of ICT in technology convergence: A knowledge-based network analysis.
    Jung S; Kim K; Lee C
    PLoS One; 2021; 16(7):e0254424. PubMed ID: 34242332
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Seizing the strategic opportunities of emerging technologies by building up innovation system: monoclonal antibody development in China.
    Zhang MY; Li J; Hu H; Wang YT
    Health Res Policy Syst; 2015 Nov; 13():64. PubMed ID: 26537659
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Patent Network Analysis and Quadratic Assignment Procedures to Identify the Convergence of Robot Technologies.
    Lee WJ; Lee WK; Sohn SY
    PLoS One; 2016; 11(10):e0165091. PubMed ID: 27764196
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Quantitative identification of technological paradigm changes using knowledge persistence.
    Mun C; Yoon S; Kim Y; Raghavan N; Park H
    PLoS One; 2019; 14(8):e0220819. PubMed ID: 31415621
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Technology opportunity discovery by structuring user needs based on natural language processing and machine learning.
    Roh T; Jeong Y; Jang H; Yoon B
    PLoS One; 2019; 14(10):e0223404. PubMed ID: 31661516
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Firms navigating through innovation spaces: a conceptualization of how firms search and perceive technological, market and productive opportunities globally.
    McKelvey M
    J Evol Econ; 2016; 26(4):785-802. PubMed ID: 28163393
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The effect of collaborative innovation on ICT-based technological convergence: A patent-based analysis.
    Hwang I
    PLoS One; 2020; 15(2):e0228616. PubMed ID: 32017795
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Principles of convergence in nature and society and their application: from nanoscale, digits, and logic steps to global progress.
    Roco MC
    J Nanopart Res; 2020; 22(11):321. PubMed ID: 33106748
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Quantitative mapping of patented technology - The case of electrical conducting polymer nanocomposite.
    Lee PC; Su HN; Wu FS
    Technol Forecast Soc Change; 2010 Mar; 77(3):466-478. PubMed ID: 32287408
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Innovation strategy management survey of the Chilean biomedical industry. Assessment of windows of opportunities to reduce technological gaps.
    Bas TG; Oliu CA
    Int J Health Plann Manage; 2018 Apr; 33(2):e512-e530. PubMed ID: 29423976
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Structure of the Region-Technology Network as a Driver for Technological Innovation.
    O'Neale DRJ; Hendy SC; Vasques Filho D
    Front Big Data; 2021; 4():689310. PubMed ID: 34337398
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A patent survey case: how could technological forecasting help cosmetic chemists with product innovation?
    Domicio Da Silva Souza I; Juliana Pinheiro B; Passarini Takahashi V
    J Cosmet Sci; 2012; 63(6):365-83. PubMed ID: 23286869
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Technology-Based Classification of Firms: Can We Learn Something Looking Beyond Industry Classifications?
    Gkotsis P; Pugliese E; Vezzani A
    Entropy (Basel); 2018 Nov; 20(11):. PubMed ID: 33266611
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evolution of technology convergence networks in Korea: Characteristics of temporal changes in R&D according to institution type.
    Choi JY; Jeong S; Jung JK
    PLoS One; 2018; 13(2):e0192195. PubMed ID: 29420574
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Converging technologies and human destiny.
    Bainbridge WS
    J Med Philos; 2007; 32(3):197-216. PubMed ID: 17613702
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Data-Driven Technology Roadmaps to Identify Potential Technology Opportunities for Hyperuricemia Drugs.
    Feng L; Zhao W; Wang J; Lin KY; Guo Y; Zhang L
    Pharmaceuticals (Basel); 2022 Nov; 15(11):. PubMed ID: 36355529
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.