GAMP 5 - consideration and validation of AI & ML GxP Systems

The goal of the course

• Understand GAMP5's perspective on AI and ML systems

• Understand the supporting processes of AI/ML

• Understand good machine learning practices (GMLP)

• Explore the validation of AI and ML systems

• Understand computerized systems based on ChatGPT

• Understand computerized systems based on cloud AI services

• Understand the business case related to production systems like MES

Scope of the course

• Understanding the main concepts of AI

• GAMP 5 – AI & ML – concept phase, project phase, operation phase

• GAMP 5 ML sub-system supporting processes

• Good Machine Learning Practice GMLP

• Validation of AI and ML systems

• Computerized systems based on ChatGPT

• Computerized systems based on AI cloud services

• AI business case based on MES system

Harnessing AI's capabilities enables manufacturers to reduce costs, enhance efficiency, and ultimately improve patient outcomes. With the ongoing evolution of digital technology, pharmaceutical manufacturing is poised for further transformation in the years ahead. As AI continues to advance, its application in pharmaceuticals will likely expand, driving innovation, streamlining processes, and contributing to the development of novel treatments and therapies. This transformative power has the potential to reshape the entire industry landscape, fostering a new era of healthcare delivery that is more precise, efficient, and patient-centric.

The integration of AI not only optimizes existing manufacturing processes but also opens up avenues for entirely new approaches to drug development, production, and distribution. This shift towards AI-driven pharmaceutical manufacturing represents a paradigmatic change in how medicines are made and delivered, promising to revolutionize healthcare on a global scale.