Keywords
Abstract
One of the most famous worldwide technological solutions Artificial Intelligence (AI) enables modernization of many sectors and specifically revolutionizes pharmaceutical operations. The discovery of quirky and temporally ineffective clinical assets through this process drives a transformation in traditional drug discovery because of AI technologies. The tools assist researchers to forecast medication interactions together with identifying optimal drug candidate orientations while determining the best molecular orientations within incredibly short periods of time. The application of Artificial Intelligence in drug development minimizes both pharmaceutical testing durations and research expenses to establish a future of selective medicines. This paper presents a discussion about contemporary artificial Intelligence applications in drug development work alongside their resulting effects within the pharmaceutical industry while analyzing the prospective growth potential for Intelligence-based approaches in drug discovery evolution. The analysis presented in this paper examines case studies about AI usage in drug discovery and reviews the advantages together with the main obstacles and possible regulatory matters surrounding this method.