To evaluate the current methodologies and challenges in computerized system validation (CSV) within the pharmaceutical industry.
To investigate the potential applications of artificial intelligence (AI) and machine learning in improving the efficiency and effectiveness of CSV processes.
To propose innovative solutions and strategies for incorporating AI technologies into CSV in the pharmaceutical sector, with a focus on educational initiatives.
Conduct a literature review on the current practices and challenges in CSV for the pharmaceutical industry.
Investigate the capabilities and limitations of AI and machine learning technologies for enhancing CSV processes.
Develop a case study or simulation to demonstrate the potential benefits of AI-driven approaches in CSV education for pharmaceutical professionals.
Propose recommendations for the implementation of AI technologies in CSV for pharmaceutical companies, considering educational aspects.
