AI and Machine Learning in Bioprocessing

Overview

Application of AI/ML across the bioprocessing lifecycle from discovery to commercial manufacturing, enabling faster development timelines, data-driven decision making, and cross-organizational knowledge synthesis AI and machine learning are now a mandatory discussion topic in every biopharmaceutical company, yet most organizations cannot leverage them effectively because historical process data accumulated across decades and acquisitions is not in AI-ready formats. AI models in early phase bioprocess development do not need to be perfect; relatively simple machine learning models can rapidly reduce experimental design space for phase one manufacturing, while more rigorously validated models are required for official process characterization studies. (Segment 1 (00:00-05:00))