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Employing ML for Guiding the Ligand-Binding Assay Development

  • 1.  Employing ML for Guiding the Ligand-Binding Assay Development

    Community Leadership
    Posted 09-14-2023 12:58

    In the most recent monthly meeting of the PK Methodology Working Group, Mark facilitated a constructive conversation regarding the potential application of machine learning in the development of ligand binding assays. Members actively contributed valuable insights in the following areas:

             Assessing the feasibility of employing machine learning approaches and distinguishing them from traditional automation methods.

             Identifying challenges associated with data collection and ensuring the completeness of the dataset.

             Recognizing the importance of industry collaboration in the creation of a practical algorithm to guide the development of ligand binding assays.

    The monthly gathering of the PK Assay Working Group, focusing on PK Methodologies for Biologics, Cell, and Gene therapies, provides an invaluable platform for industry experts to come together. During these meetings, we collaboratively share best practices, tackle emerging challenges, and exchange valuable experiences. The primary goal is to support each other in refining PK methodologies and facilitating successful filling and submission processes.



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    Mark Ma Ph.D.
    VP. Head of Translational Clinical Sciences
    Rallybio
    New Haven CT
    [email protected]

    Disclaimer: Opinions expressed are solely my own and do not express the views or opinions of my employer.
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