Division/Committee: [BIOT: Division of Biochemical Technology]

Artificial Intelligence (AI) and Machine Learning (ML) have emerged as pivotal tools in the biomanufacturing sector, revolutionizing how we design, optimize, and control processes critical to producing biopharmaceuticals, biomaterials, and other biologically derived products. This session will explore the transformative role of AI and ML in enhancing efficiency, quality, and innovation in end-to-end biomanufacturing processes. We will delve into both the successes and challenges encountered when deploying AI and ML technologies in biomanufacturing. Through case studies and discussions, we will examine the latest advancements, innovative applications, and the future potential of AI/ML in this rapidly evolving field. Suggested Topic Areas (Case Studies, particularly illustrating GMP implementation, are preferred): We invite scientists, researchers, and industry leaders from academia and the biopharmaceutical sector to join us in exploring the transformative potential of AI and ML in biomanufacturing by submitting their abstracts targeting one of the following topics: Cutting edge progress in AI/ML applications for: Bioprocess optimization and continued process verification, Bioprocess monitoring and control, Predictive modeling and simulation, Quality control and assurance, Facility operational optimization (e.g. scheduling, equipment performance and maintenance monitoring, inventory management), Regulatory considerations and challenges in adopting AI/ML based technologies, Data management and cybersecurity in AI/ML applications

Daniel Howsmon

Tulane University

Appearances