Enhancing Regulatory Compliance in the Pharmaceutical Industry through AI/ML: A Case Study on FDA Computer Software Assurance (CSA)
This case study investigates the integration of Artificial Intelligence/Machine Learning (AI/ML) technologies to bolster compliance with the FDA's Computer Software Assurance (CSA) initiative within the pharmaceutical industry. Recognizing the evolving landscape of regulatory requirements, the case study explores how AI/ML methodologies can be harnessed to strengthen the validation and assurance processes mandated by the FDA. The study begins by providing an overview of the challenges faced by pharmaceutical companies in maintaining compliance with FDA regulations, particularly in the context of CSA. Common issues include the complexity of software systems, the dynamic nature of updates, and the need for continuous validation in a rapidly evolving technological environment. The implementation of AI/ML techniques in CSA processes is presented as a strategic solution to address these challenges. The case study delves into the utilization of machine learning algorithms for predictive ...