Review on Role of AI in Pharmaceutical Research and Development

Artificial intelligence (AI) and machine learning (ML) are expected to have a transformative impact on pharmaceutical research and development (R&D) over the last decade. To choose the study such as "disease diagnosis." In this article, the use of AI in medication discovery, individualized treatment, digital therapy, disease detection, and epidemic or pandemic forecasting was thoroughly examined. Deep learning and neural networks are the most often utilized AI technologies; Bayesian nonparametric models have the potential to be employed in clinical trial design; and natural language processing and wearable devices are used in patient identification and monitoring. In order to anticipate the outbreak of COVID-19, Zika, Ebola, TB, and seasonal influenza, deep learning and neural networks were used. Rapid and economical pharmaceutical and healthcare research, as well as better public services, could be witnessed by the scientific community as AI technologies develop. Artificial intelligence (AI) has emerged as a potent tool for harnessing human knowledge and delivering rapid answers to complicated problems. Remarkable advances in AI technology and machine learning offer a breakthrough possibility for drug development, formulation, and pharmaceutical dosage form testing.