Associate Director Vertex Pharmaceuticals Boston, Massachusetts
AI/ML has gained popularity in healthcare and there is an increasing interest for real time prediction of product quality and process control. In the pharmaceutical industry, continuous manufacturing has gained popularity due to its numerous benefits over traditional batch manufacturing. One key advantage of continuous manufacturing is the ability to achieve higher quality and efficiency. By integrating AI into the manufacturing process, quality control in continuous manufacturing for pharma can be improved. AI can detect patterns and anomalies that may be missed by human operators, identify quality issues before they become major problems, and optimize the manufacturing process by analyzing data to fine-tune process parameters for optimal results. Combining AI with other advanced technologies, real-time monitoring and control of the manufacturing process can be achieved, resulting in high-quality products produced more efficiently and consistently, ultimately leading to improved patient outcomes. The presentation will talk about AI implementation advantages in Continuous Manufacturing and some current challenges.
Learning Objectives:
Current landscape of CM and use of AI (focusing on Small Molecules)
Review of AI methodologies in Continuous Manufacturing (CM) of small molecules.
rove risk management, compliance and decision-making during manufacturing and product disposition