Bioinformatics Tools for Pharmaceutical Drug Product Development

9Artificial Intelligence and Machine Learning-Based Formulation and Process Development for Drug Products

Vivek P. Chavda

Department of Pharmaceutics and Pharmaceutical Technology, L M College of Pharmacy, Ahmedabad, Gujarat, India

Abstract

Artificial intelligence (AI) and machine learning (ML) are constantly evolving techniques that may provide intriguing answers to hard scientific problems. There are some promising instances, such as in molecule design; nevertheless, formulation design is a more difficult domain, and this manuscript will look at what AI/ ML can and cannot do to optimize formulation design in this multifarious arena. AI has been more popular in the pharmaceutical and biomedical sectors in recent years. Several AI-based solutions are extensively used in these sectors, resulting in more efficient and automated processes that include predictive and data-driven judgments. Although the drug manufacturing process is lengthy and complicated, it is critical to understand the fundamentals of how this business functions. It is a procedure used in the pharmaceutical industry to synthesize medications on a large scale. ML may be used to collect past batch performance for real-time improvement of crucial process parameters, resulting in optimum output quality. This chapter tries to capture AI/ML application for drug product formulation and process development.

Keywords: Artificial intelligence, machine learning, AI/ML, formulation development, process development, validation, ...