Exploring the Role of AI in Optimizing Drug Formulations

DOI: https://doi.org/10.63345/ijrmp.v11.i7.2

Ritika Dhillon

Independent Researcher

Punjab, India

Abstract

This manuscript investigates the transformative role of artificial intelligence (AI) in optimizing drug formulations, addressing challenges from traditional methods to modern computational approaches. By integrating machine learning algorithms with pharmaceutical design, the study explores the optimization of formulation parameters, predicts stability, and refines bioavailability while reducing time and cost in drug development. An extensive literature review up to 2021 is provided alongside a detailed methodological framework, which includes survey data and statistical analysis. The results underscore AI’s potential to revolutionize drug development by improving formulation efficiency and accuracy. This research contributes to a growing body of knowledge on the application of AI in pharmaceutical sciences, offering insights that may pave the way for future innovations.

Keywords

AI, drug formulation, optimization, machine learning, pharmaceutical development, bioavailability, stability, computational modeling

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