AI & Machine Learning in Biologics
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the biologics landscape from discovery to post-market analysis. This session explores the integration of AI in drug design, structural modeling, process control, clinical trial optimization, and safety monitoring. Attendees will discover how machine learning algorithms are used to predict protein folding, enhance analytical accuracy, identify manufacturing anomalies, and personalize treatment plans. The discussion will also cover digital twins in bioprocessing, AI-driven quality control, and automation in batch record documentation. Case studies will demonstrate the tangible impact of AI on speed, precision, and cost-efficiency in biologics development. Regulatory considerations and validation of AI models will be addressed, ensuring compliance in AI-integrated systems. This session is ideal for data scientists, bioengineers, R&D professionals, and digital transformation leaders working at the forefront of biopharmaceutical innovation.