HARENSSING ARTIFICIAL INTELLIGENCE & MACHINE LEARNING IN PHARMACEUTICAL QUALITY ASSURANCE

*Krushna Thorat

ABSTRACT

Artificial Intelligence (AI) has the disruptive potential to transform patients’ lives via innovations in pharmaceutical sciences, drug development, clinical trials, and manufacturing. The pharmaceutical industry must maintain stringent quality assurance standards to ensure product safety and regulatory compliance. artificial intelligence and machine learning is revolution in pharmaceutical quality assurance. Artificial Intelligence can offers real-time monitoring of critical quality attributes and allowing prompt remedial actions in process and documentation. It also has a power to tools and automated documentation improve data integrity and expedite regulatory standard compliance. Machine learning algorithms are used in predictive maintenance and process optimization to reduce equipment downtime and guarantee constant production quality. This technique use to improve pharmaceutical quality standard, productivity, accuracy and regulatory compliance. In pharmaceutical industry, traditional procedure has a multiple significant problems including regulatory standard, timeline, and human error. This review paper covers innovative use of machine learning (ML) and artificial intelligence to enhance quality assurance and documentation in n the pharmaceutical industry.

Keywords: Artificial Intelligence (AI), Machine learning (ML), Drug development, pharmaceutical.