A Proposed Model for an Artificial Intelligence Algorithm to Improve Pharmaceutical Industry

An Artificial Intelligence (AI) is revolutionizing the pharmaceutical industry by enhancing and streamlining numerous processes, ranging from drug discovery to clinical trial optimization. AI technologies help accelerate processes, reduce costs, and improve effectiveness, enabling pharmaceutical companies to achieve long-term competitive advantages. This study aims to advance the pharmaceutical industry by designing a software solution that utilizes a genetic algorithm based on artificial intelligence. In this research, drug components are represented as genes within a set of chromosomes, allowing for the optimization of pharmaceutical molecule design by exploring vast spaces of possible chemical compounds. The proposed algorithm identifies the most effective molecules while minimizing potential side effects, significantly accelerating the drug discovery process by reducing the time and cost required to produce new or advanced formulations. This innovative approach holds the potential to transform drug development and improve outcomes in the pharmaceutical sector.