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    Area of Science:

    • Oncology
    • Bioinformatics
    • Computational Biology

    Background:

    • Cancer evolution is complex, involving cellular and microenvironmental changes.
    • Understanding these dynamics is crucial for effective treatment.

    Purpose of the Study:

    • To explore the challenges and opportunities of applying artificial intelligence (AI) in oncology.
    • To discuss AI's role in cancer research and clinical practice.

    Main Methods:

    • Expert discussion and synthesis of current AI applications in cancer.
    • Review of AI's potential in diagnosis, treatment response prediction, and implementation.

    Main Results:

    • AI presents significant opportunities for advancing cancer research.
    • Challenges include data integration, model validation, and ethical considerations.

    Conclusions:

    • AI holds promise for improving cancer diagnosis and treatment personalization.
    • Responsible implementation is key for realizing AI's full potential in clinical settings.