ROLE OF ARTIFICIAL INTELLIGENCE IN FORMULATION AND PRE-FORMULATION STUDIES

Safid H. Khan, *Yadnen D. Sutar, Sujal H. Thakare, Girish A. Patil, Tejaswini L. Asawe

ABSTRACT

AI in formulation & pre-formulation involves using artificial Intelligence and machine learning to optimize drug improvement, Particularly in Predicting and managing the physical & chemical Properties of drug substances. AI (Artificial Intelligence) and ML (Machine Learning) are rapidly transforming. The pharmaceutical industry particularly in the crucial Stages of formulation & pre-formulation. These technologies are replacing traditional, time-consuming, & resource -intensive trial-& error methods with divine-data, Predictive model's, leading. to fast development time, reduced cost's & a higher success rate for new drugs products. AI's facility to analyse enormous volumes of records and identify patterns and correlations that human researchers might overlook is one of its primary benefits in pharmaceutical development. The data is analysed using a variety of techniques and technologies, the most common and widely used of which are artificial neural networks (ANN), neuro-fuzzy logic, fuzzy logic and genetic algorithms. AI makes it possible to find new pharmacological targets and produce stronger drugs. By predicting the solubility, stability, and bioavailability of drug applicants, artificial intelligence (AI) can also be utilized to enhance pharmaceutical formulations and raise the chances of successful clinical trials. By determining which patient demographics are most likely to benefit from a treatment, artificial intelligence (AI) is also used to design clinical trials, cutting down on both time and expense. AI can also keep an eye on patients throughout clinical trials, identifying side effects in real time and modifying dosages to enhance patient results.

Keywords: Formulation & Pre-formulation Studies; Artificial Intelligence (AI); Drug Formulation; Formulation Optimization; Deep Learning (DL); Machine learning (ML); Artificial Neural Network (ANN).