 The use of artificial intelligence, AI, in healthcare and pharmaceutical research is rapidly increasing due to its ability to process large amounts of data quickly and accurately. AI technologies such as deep learning and neural networks have been successfully applied in various areas including disease diagnosis, digital therapies, personalized treatments, drug discovery, and forecasting epidemics or pandemics. Additionally, Bayesian non-parametric models are being explored as potential technologies for clinical trial design, while natural language processing and wearable devices are being utilized in patient identification and clinical trial monitoring. These advancements in AI technology have the potential to revolutionize healthcare and pharmaceutical research by providing faster, more accurate, and cost-effective services to the general public. This article was authored by Subrat Kumar Bhattamishra, Priyanka Banerjee, Pratiba Gupta, and others.