Al as a Biomedical Research Assistant

    • 68 learners

      Enrolled

    • Level 2

      Intermediate

    • Self-paced

      Course duration

    • 1 Ebook

      Free of charge
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    Course overview
    This course equips learners with practical skills to use AI as a biomedical research assistant, helping R&D, Medical Affairs, Regulatory, and Digital Health teams explore scientific literature, synthesize evidence, and prepare structured research insights more efficiently.

    Participants will learn how to formulate scientific questions, apply CO-STAR + Constraint prompting, use AI Deep Research for literature exploration, synthesize multiple documents, verify citations, and understand when expert review is required. By the end of this course, learners will be able to use AI to support research preparation while maintaining scientific rigor, source traceability, and human oversight.
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    What We Offer

    What's included in this online course?

    A step-by-step guide

    Learn how to move from a research question to structured evidence synthesis through AI-supported literature exploration and citation verification.

    Study at your own pace

    Access the course anytime and practice with biomedical research examples based on scientific papers, clinical studies, and regulatory guidelines.

    Practical research experience

    Use CO-STAR + Constraint prompts, AI Deep Research, and document-grounded workflows to summarize evidence, identify gaps, and prepare expert consultation questions.
    What you'll be able to do
     Explore scientific literature and formulate sharper research questions
      Apply CO-STAR + Constraint prompts for evidence-based AI outputs
      Synthesize findings from papers, studies, and guidelines into structured summaries
      Verify citations and identify when expert review is required
    Certification included
    Complete this course to strengthen your AI literacy in biomedical research assistance. You will learn how to use AI responsibly to explore literature, summarize evidence, compare scientific findings, and prepare research briefs with traceable references.

    This certificate shows that you understand how to apply AI tools for scientific exploration, citation-backed synthesis, and expert-ready research preparation while recognizing the limits of AI in biomedical and regulated contexts.

    Meet the People Behind AI Literacy

    AI Literacy is developed through the collaboration of cross-functional contributors who support the planning, content development, technical implementation, and learning experience of the program. Together, the team helps bring practical AI knowledge, real-world use cases, and responsible AI guidance to employees across the organization.

    Edwin Simjaya

    Head of AI and Software Center

    Tamaria Artpinkan

    Product Innovation Lead

    Selvianingrum

    AI Engineer

    Reyhan Phillies W.

    Project Manager

    Pradipa Arya Nugraha

    UI/UX Designer

    Runi Dwi Jiasta

    Project Manager

    Bernadus Ignasio

    AI Engineer

    Mary Priscilla

    AI Engineer

    Renata Rusli

    UI/UX Designer

    Alfredo Anthony S.

    UI/UX Designer

    Shalomita Sharon P.

    UI/UX Designer

    Terence Lee

    UI/UX Designer