Harnessing AI for the Future of Pharma Manufacturing

Abstract

Artificial Intelligence (AI) is making significant changes in numerous healthcare sectors around the world. Being an essential component of healthcare, the pharmaceutical industry is also not behind in utilizing AI’s vital role at various phases of the drug development process. Specifically, AI can be utilized at various stages of pharmaceutical research and manufacturing starting from drug discovery to several tasks involved in manufacturing operations ranging from quality control to packaging, including product tracking from beginning to end. AI plays a vital role in enhancing the complex manufacturing of biopharmaceuticals by optimizing processes in real time, monitoring cell health, and employing predictive analytics. By improving visibility, efficiency, and compliance, AI can lead to smarter manufacturing processes, superior quality products and efficient supply chain solutions. In addition, AI has a critical role to play in achieving temperature-controlled distribution of biopharmaceuticals, supply chain management, prediction of potential issues and patient-focused solution creations helpful in personalized medicine. However, there are still several challenges that need to be addressed before fully integrating AI into manufacturing operations at all levels. This article reviews the potential of AI in pharmaceutical manufacturing, highlighting its benefits, recent breakthroughs and major challenges in its full implementation. The article also discusses the prospects of AI and suggests solutions to overcome real time limitations associated with full implementation of an AI-integrated pharmaceutical manufacturing and research efforts within the industry and academic settings.