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がん研究における人工知能仮想細胞の応用に関する未解決の課題

  • role： Corresponding author, First author通信作者, 第一作者
  • Affiliation：

    Department of Basic Sciences, Biomedical Stomatology Research Group, Faculty of Dentistry, Universidad de Antioquia, U de A, 050010 Medellín, Colombia

    Department of Basic Sciences, Saveetha Dental College, SIMATS, Saveetha University, Chennai, Tamil Nadu 600077, India

  • Email：martin.ardila@udea.edu.co
  • Introduction：* Carlos M. Ardila martin.ardila@udea.edu.co
Carlos M. Ardila12*,  
  • Affiliation：

    Department of Basic Sciences, Saveetha Dental College, SIMATS, Saveetha University, Chennai, Tamil Nadu 600077, India

Pradeep K. Yadalam2

サマリー

キーワード

人工知能 (AI);がん;細胞;腫瘍学

References

  1. 1..
    Yang T,Wang YY,Ma F,Xu BH,Qian HL. Build the virtual cell with artificial intelligence: a perspective for cancer research. Mil Med Res. 2025;12(1):4.
  2. 2..
    Bunne C,Roohani Y,Rosen Y,Gupta A,Zhang X,Roed M, et al. How to build the virtual cell with artificial intelligence: priorities and opportunities. Cell. 2024;187(25):7045-63.
  3. 3..
    Nam Y,Kim J,Jung SH,Woerner J,Suh EH,Lee DG, et al. Harnessing artificial intelligence in multimodal omics data integration: paving the path for the next frontier in precision medicine. Annu Rev Biomed Data Sci. 2024;7(1):225-50.
  4. 4..
    Yadalam PK,Anegundi RV,Ardila CM. Evolution oroinformatics: a deep learning perspective in personalised dental care. Int Dent J.2024;74(5):1174-5.
  5. 5..
    Farrow L,Meek D,Leontidis G,Campbell M,Harrison E,Anderson L. The clinical practice integration of artificial intelligence (CPI-AI) framework. Bone Joint Res. 2024;13(9):507-12.

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