Emerging Role of Machine Learning in Field of Pharmacology

The medical profession currently faces a number of difficult problems, such as rising medicine and therapy costs, and society requires particular major reforms in this field. Pharmaceutical goods may now be produced with personalized pharmaceuticals that have the needed dosage, release characteristics, and other components based on the needs of each patient. The application of machine learning (ML) has grown across many societal sectors, especially the pharmacology field. This paper focuses on the application of ML in a number of pharmacology-related domains, including drug research and development, pharmacy efficiency improvement, and clinical trials. These programs swiftly accomplish objectives by minimizing the role of people. In addition, we discuss existing issues and prospective approaches, several ML algorithms and approaches, and future applications of ML in the healthcare sector.