Developing a dataset to create generalizable developability models for biologics
Jesse Dill ⋅ Ammar Arsiwala ⋅ Georgios Pilitsis
Abstract
Our vision is to establish a foundational data set to enable new AI/ML models that reliably predict the holistic, multi-axis set of characteristics that make biologic drugs well-suited for clinical use, from stability to aggregation propensity to immunogenicity.
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