A Review on the Role of Artificial Intelligence in the Pharma Industry

The application of artificial intelligence (AI) in pharmaceutical technology has notably increased, providing chances to conserve time and resources while improving comprehension of the correlations between formulations and process factors. Artificial Intelligence, a branch of computer science, concentrates on developing intelligent computers proficient in symbolic reasoning and problem-solving. Its applications encompass business, medicine, and engineering; in the pharmaceutical sector, AI has revolutionized drug discovery, development, target identification, manufacturing processes, dose design, clinical trial optimization, and personalized medicine. This article emphasizes the function of AI in the creation of innovative peptides from natural sources, the management of rare diseases, the enhancement of drug adherence, and the prediction of new therapies. It examines factory execution systems, automated control processes, and the incorporation of AI-driven models in pharmaceutical workflows. Notwithstanding its potential, problems including data quality, regulatory compliance, ethical considerations, and integration with existing systems must be resolved for successful use. This review highlights the significance of artificial neural networks, AI-driven medication discovery, drug repurposing, and research integration in the progression of pharmaceutical science.