Bioinformatics Tools for Pharmaceutical Drug Product Development

10Artificial Intelligence and Machine Learning-Based Manufacturing and Drug Product Marketing

Kajal Baviskar¹, Anjali Bedse², Shilpa Raut² and Narayana Darapaneni³*

¹Department of Pharmaceutical Chemistry, K. K. Wagh College of Pharmacy, Nashik, Maharashtra, India

²Department of Pharmaceutics, K. K. Wagh College of Pharmacy, Nashik, Maharashtra, India

³Data Science, Northwestern University School of Professional Studies, Chicago, IL, USA

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) are the new drivers for the industry 4.0 revolution. Its use is becoming widespread across society. The dawn of AI and ML can also be witnessed in the pharmaceutical industry. The manufacturing sector has been significantly impacted by AI-ML. The ability of ML strategies to predict future events has allowed for the deciphering of complicated patterns in manufacturing patterns. This has opened the avenues for an intelligent decision support system in different manufacturing tasks like intuitive and continual inspection, fault detection, quality enhancement, process improvement, management of supply chain, and much more. ML approaches allow for the development of actionable intelligence to improve productivity without huge change in the required resources. AI and ML also have the potential to revolutionize marketing. It can assist in different aspects of marketing, like product cost, predictive analytics, market segmentation, etc. This chapter describes how AI and ML can be used ...