DOI: https://doi.org/10.55522/jmpas.V13I5.6689
VOLUME 13 – ISSUE 5, SEPTEMBER - OCTOBER 2024
Aarti Shastri, Saurabh Kasar, Namita Veer, Anjali Adsul, Arti Swami*
Department of Pharmaceutical Sciences, School of Health Sciences & Technology, Dr. Vishwanath Karad MIT World Peace University, Pune, Maharashtra,, India
Refer this article
Aarti Shastri, Saurabh Kasar, Namita Veer, Anjali Adsul, Arti Swami, 2024. Application of artificial intelligence (AI) as a process analytical technology (PAT) tool in the healthcare industry. Journal of medical pharmaceutical and allied sciences, V 13 - I 5, Pages - 6795 – 6801. Doi: https://doi.org/10.55522/jmpas.V13I5.6689.
ABSTRACT
Process Analytical Technology (PAT) has revolutionized manufacturing by providing real-time insights into process parameters. This guide delves into the synergistic potential of AI and PAT, offering a comprehensive overview of their integration. It explores the way AI algorithms can enhance data analysis, prediction, and control complex manufacturing processes. The document provides a fundamental understanding of AI concepts relevant to PAT, including machine learning, deep learning, and computer vision. Real-world case studies help to illustrate the practical application of AI in diverse industries, such as pharmaceuticals, chemicals, and food processing. By highlighting the benefits of AI-driven PAT, such as improved product quality, increased efficiency, and reduced costs, this guide empowers readers to harness the power of AI for process optimization and innovation. The objective of this review is to provide a base for establishing the regulatory guidelines and adaptation of PAT-controlled applications in the regulations.
Keywords:
Process Analytical Technology, AI, machine learning, Deep learning, Computer vision, Case studies, Manufacturing, Process optimization