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A curated AI/ML pharmacometrics library, and now a tutorial to run it yourself

  • 1.  A curated AI/ML pharmacometrics library, and now a tutorial to run it yourself

    Posted 03-31-2026 16:53
    Edited by Ana Victoria Ponce Bobadilla 03-31-2026 16:55

    Some of you may have seen this on LinkedIn last week, but for those who missed it, here's a quick introduction.

    Bartosz Bartmanski, Anuraag Saini, and I have built an open, curated, LLM-assisted publication library under the ISOP AI/ML Special Interest Group: a structured, searchable map of publications where AI/ML has been applied in pharmacometrics, classified by regulatory application (aligned with Liu et al., CPT 2023) and ML methodology, with LLM-generated summaries for quick orientation.

    πŸ”— https://aiml-sig.github.io/awesome-ai-ml-pharmacometrics/

    And here's something we're sharing with the ISOP community: we've just added a hands-on tutorial. It walks you through the paper extraction pipeline from scratch: how PubMed queries are constructed, how results are retrieved and parsed, and how you can customize it for your own purposes.

    πŸ”— Tutorial: https://github.com/AIML-SIG/awesome-ai-ml-pharmacometrics/blob/main/paperExtractionAPI/Tutorial.ipynb

    Questions, feedback, or want to contribute papers to the library? Drop a comment or open a PR on GitHub.



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    Ana Victoria Ponce Bobadilla
    Associate Director, Pharmacometrics
    Certara
    Basel
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