AI | Article | Data Integrity | GMP | White Paper
Published By VTI Life Sciences Introduction The pharmaceutical industry is undergoing a significant transformation driven by digitization and artificial intelligence (AI). As regulatory expectations from agencies such as the U.S. Food and Drug Administration (FDA) and the European Medicines Agency (EMA) continue to emphasize data integrity, traceability, and compliance, Good Manufacturing Practice (GMP) systems must […]
Reshma Kodumuru, Principal CSV, KBI BioPharma Abstract With the rapid rate of digital change nowadays, ensuring data is secure and intact across complicated systems is the biggest challenge for the pharmaceutical industry. Government agencies such as the FDA, EMA, MHRA, and ICH all emphasize that trustworthy data, being complete, consistent, and accurate, is the foundation […]
Taylor DieringerSenior Staff Quality Engineer – Risk Management iRhythm Technologies, Inc. In medical device risk management, the structure of a hazard analysis greatly impacts both product development and post-market surveillance. A clear, intentional structure supports traceability, aligns with ISO 14971:2019, and enables effective risk control. This article explores three common structures for hazard analysis and […]
Presented by: Kim Huynh-Ba
Kim Huynh-Ba, Managing Director, Pharmalytik, LLCIntroductionEfficiency in laboratory operations is essential for maintaining accuracy, reducing turnaround time, and ensuring compliance with regulatory requirements. As technology advances, laboratories can leverage automation, artificial intelligence (AI) and machine learning (ML), cloud-based Laboratory Information Management Systems (LIMS), and real-time analytics to streamline workflows, optimize processes, and improve product quality. […]
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