APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND ROBOTICS IN PHARMACEUTICAL SCIENCES: ADVANCING DRUG DISCOVERY, PERSONALIZED MEDICINE, AND PHARMACEUTICAL MANUFACTURING

This paper reviews the major contributions made by artificial intelligence (AI) and robotics to pharmaceutical sciences, particularly drug discovery, personalized medicine, and pharmaceutical manufacturing. It demonstrates the speed and cost efficiency of finding therapeutic candidates using large chemical libraries and biological data generated by AI applications that accelerate this process over traditional techniques. Furthermore, AI predictive capabilities to predict the drug’s pharmacokinetic and pharmacodynamic profile help to minimize the risks of late-stage clinical trial failure and facilitate the process of developing drugs. In the personalized medicine arena, AI’s potential to learn from genetic, environmental, and lifestyle data enables the development of custom-tailored treatment plans to improve patients’ outcomes while mitigating negative side effects. These are enhanced by robotics to automate drug synthesis, ensure dosage consistency, and enhance patient safety. It is likely that AI will play a vital role in drug discovery in the future, and cutting-edge machine learning (ML) algorithms will help to dramatically speed up the identification of novel therapeutic targets while saving time and money by delaying or eliminating traditional discovery steps. Also, AI and robotics can be integrated into pharmaceutical manufacturing in order to optimize efficiency by continuously monitoring and optimizing the production processes, enhancing supply chain optimization, and ensuring quality assurance (QA). Overall, this review highlights the impact of AI and robotics in pharmaceutical sciences for creating a more effective and customized healthcare system, which will make patient care and treatment outcomes more efficient.