RP-HPLC METHOD DEVELOPMENT AND VALIDATION FOR ESTIMATION OF ARGATROBAN IN BULK FORM

Artificial Intelligence (AI) and Machine Learning (ML) are transforming pharmaceutical regulatory affairs by automating the data analysis, document handling, and compliance monitoring. These technologies lower submission deadlines and compliance concerns while increasing efficiency and facilitating real-time decisionmaking. Data integrity, transparency, ethical issues, and the requirement for workforce training are some of the difficulties associated with their integration. This essay examines how AI and ML are now being used in regulatory procedures, highlighting the significance of precise rules, moral protections, and cooperation between technology and human knowledge. By tackling these issues, the pharmaceutical sector can use AI and ML to improve compliance, expedite regulatory processes, and hasten the delivery of safe and efficient treatments.