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Quality Control and AI: Ensuring Safety in Drug Manufacturing
Manage episode 451563325 series 3617575
Treść dostarczona przez Nirdosh Jagota. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Nirdosh Jagota lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.
In this episode of AI Revolution in Healthcare: A Regulatory Perspective, Dr. Nirdosh Jagota explores how artificial intelligence is transforming pharmaceutical manufacturing, particularly in quality control. Titled "Quality Control and AI: Ensuring Safety in Drug Manufacturing," this episode delves into the intersection of AI and regulatory compliance, focusing on three key areas: real-time process monitoring, batch release decision-making, and supply chain management.
Dr. Jagota discusses how AI enhances continuous process verification, predictive maintenance, and batch release decisions while maintaining strict adherence to regulatory frameworks such as Current Good Manufacturing Practices (CGMPs). He also explores the growing application of Quality by Design (QbD) principles, where AI systems monitor and predict potential risks in real-time, ensuring product quality and consistency.
With AI playing a critical role in automating and optimizing pharmaceutical manufacturing, Dr. Jagota emphasizes the importance of meeting regulatory standards for model validation, data integrity, and risk management. He highlights the need for AI systems to demonstrate reliability, transparency, and traceability to ensure both product safety and regulatory compliance.
Join Dr. Jagota as he navigates the regulatory complexities of AI in drug manufacturing and its potential to enhance product safety and quality.
Visit Nirdosh Jagota Official Website for more resources and insights.
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