Executive Development Programme in Dissolution Software for Formulation Optimization and Scaling

This course is designed for chemical engineers, pharmaceutical scientists, and R&D managers seeking to optimize and scale dissolution processes. Participants will gain expertise in advanced software tools for formulation design and process optimization, enabling them to improve product quality and reduce development time.

Through hands-on training with state-of-the-art software, attendees will learn to predict dissolution performance, optimize formulations for consistent performance, and scale up processes efficiently. The curriculum includes real-world case studies and expert-led sessions to enhance practical application skills.

1. 1. Fundamentals of Dissolution Science: Learners will study the basic principles of dissolution science, including the factors affecting drug dissolution, and gain an understanding of the importance of dissolution in formulation optimization. They will learn how to perform basic dissolution testing and interpret the results.
2. 2. Pharmaceutical Formulation Basics: This module covers the fundamentals of pharmaceutical formulation, including dosage form selection, excipient selection, and the role of formulation in drug product performance. Learners will understand how to design and optimize a formulation for specific dissolution profiles.
3. 3. Dissolution Modeling: Learners will explore various mathematical and statistical models used to predict dissolution behavior. They will learn how to apply these models to optimize formulations and predict performance under different conditions.
4. 4. Advanced Formulation Techniques: This module focuses on advanced techniques for formulating complex drug products, such as solid dispersions, liposomes, and nanoparticles. Learners will gain hands-on experience in designing and evaluating these systems for improved dissolution and bioavailability.
5. 5. Scaling Up Formulations: This module covers the principles of scaling up formulations from lab scale to commercial production. Learners will learn how to design pilot-scale processes and optimize them for consistency and efficiency.
6. 6. Dissolution-Driven Formulation Optimization: Learners will study the process of using dissolution data to guide formulation optimization. They will learn how to interpret dissolution data and use it to improve the performance and stability of drug products.
7. 7. Regulatory Considerations in Formulation Development: This module covers the regulatory requirements for pharmaceutical formulation development and approval. Learners will understand the role of dissolution testing in regulatory submissions and how to navigate the regulatory landscape.
8. 8. Case Studies in Dissolution-Driven Optimization: Through detailed case studies, learners will explore real-world examples of dissolution-driven formulation optimization. They will analyze successful and unsuccessful cases to gain insights into best practices and common pitfalls.
9. 9. Predictive Analytics for Dissolution Optimization: This module introduces predictive analytics tools and techniques for predicting dissolution behavior and optimizing formulations. Learners will learn how to use these tools to make data-driven decisions in formulation development.
10. 10. Quality Control and Assurance in Dissolution Science: This module covers the principles of quality control and assurance in dissolution science. Learners will learn how to implement quality control measures to ensure the reliability and consistency of dissolution data and drug products.