What is it about?
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. 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.
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Why is it important?
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
Perspectives
Writing this article was a great pleasure as it has co-authors with whom I have had long standing collaborations
Nagendar Yamsani
SR University, Warangal
Read the Original
This page is a summary of: Emerging Role of Machine Learning in Field of Pharmacology, December 2023, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/icacctech61146.2023.00050.
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