ARTIFICIAL NEURAL NETWORK (ANN) AND ITS APPLICATIONS IN THE FIELD OF PHARMACY WITH A SPECIAL FOCUS ON PHARMACEUTICAL PRODUCT DEVELOPMENT: A RECENT REVIEW

Abstract

Artificial Neural Network (ANN) is a new field and a machine learning method based on artificial intelligence (AI) which has recently been utilized to optimize pharmaceutical products. ANN usually makes highly complicated models into a simple and convenient numerical solution. The potential of ANN technique is its capacity to understand and measure complicated non-linear input output interactions and their ability to interpret ambiguous or slightly constricted structures. Description about the ANN includes the historical background, its different phases while product development and also its various types that can be employed in field of optimized pharmaceutical product development. Within the context of Quality by Design (QbD), ANN techniques can be employed for the creation of design space within the limits of all applied variable factors. The aim of this review paper includes the description about the ANN and all possible applications in the field of pharmaceutical product development.