Artificial Intelligence-The New Frontier In Drug Discovery: A Review

Abstract

Artificial Intelligence (AI) is defined as a combination of human intelligence with computational algorithms that simulate technologies of convolutional neural networks (CNN) like machine learning (ML), deep learning, and artificial neural networks (ANN). It is primarily working on the development of the new methods and technologies that can solve the complexity of the formulation and processing in the pharmaceutical industry. AI devices are now developed that can help with their capacity to learn from experience and historical data, in analysing their immediate environment, carry out activities quickly, discern patterns, and recognise faces and things. Artificial intelligence is a procedure that uses a computational algorithm to mimic human intelligence. ANNs have number of applications in drug delivery research which consists of drug release prediction, pharmacokinetic modelling, targeted drug delivery, and formulation optimization. AI algorithms provide an understanding of drug delivery mechanisms, IV drug release profiles, and the knowledge of the current shelf life and deterioration of oral drugs. AI approach can be applied i.e., Convolutional neural network (CNN) that can ensure all the criteria required for automated analysis of the defects of tablet. Machine learning (ML), a branch of artificial intelligence, that provides a promising solution as its algorithms can "learn" from large datasets and can help in prediction of complex systems. AI simulated with computational algorithm is now widely accepted procedure to tackle these types of hurdles in the prediction of the PK parameter. Therefore, this needs to be developed in several areas to help the assessment and efficacy of the projects that are evolving in future.