11.07.17
Predictive dissolution modeling is an emerging technology that promises to streamline product testing, improve product quality and reduce product waste. The ability to predict dissolution profiles based on models utilizing material properties, process conditions, and/or in-process measurements was demonstrated in the literature many years ago. Despite this, there are relatively few examples of predictive dissolution models being used in a quality control environment and even fewer examples in real-time release situations. This short course will cover the current approaches, experiences, and thinking in predictive dissolution modeling, including case studies with successes and failures from academia, health authorities, and industry. Among industrial participation, summarized learnings across multiple companies will be shared on how first principle and empirical approaches have been used for development, understanding, as well as real-time release.
8:00 a.m. – 4:00 p.m., Nov 12, Room 28DE
8:00 a.m. – 4:00 p.m., Nov 12, Room 28DE