Archives

  • Why ML in Health Science
    Vol. 1 No. 1 (2024)

    This is the first issue of the journal, discussing the balance between humans and machines in healthcare and emphasizing the need for a human-centered approach in AI, ML, E-Health, and Web3 applications.

  • Science 3.0
    Vol. 2 No. 1 (2025)

    This issue introduces and explores the term Science 3.0, defined as human research driven by decentralized AI agents.

     

  • Evaluation of AI, ML, E-Health, Metaverse, and Web3 Projects
    Vol. 1 No. 2 (2024)

    In this issue, we begin by presenting original projects guided by evidence-based standards in health science.

  • ML Architecture
    Vol. 3 No. 1 (2026)

    This issue focuses on the design, comparison, and evaluation of machine-learning architectures in health science, including deep neural networks, ensemble models, attention mechanisms, transfer learning, and clinically oriented model validation.