Affiliation:
1. Swami Vivekanand Subharti University, Meerut, India
Abstract
The field of pharmacology, dedicated to discovering, developing, and understanding the effects of drugs on living systems, has always been a dynamic and evolving discipline. From the early days of herbal remedies to the current era of precision medicine, constant innovation has driven progress in healthcare. Today, at the forefront of this evolution stands artificial intelligence (AI), poised to revolutionize the landscape of drug discovery and development. This chapter delves into the multifaceted role of AI in propelling the advancement of pharmacology, exploring its applications, potential, and the ethical considerations that accompany this powerful technology. This chapter provides a foundational overview of the role of AI in pharmacology. Each sub-section can be expanded upon with specific examples, case studies, and relevant research findings to provide a comprehensive understanding of the topic.
Reference45 articles.
1. Abadi, M., Agarwal, A., & Barham, P. (2016). TensorFlow: large-scale machine learning on heterogeneous distributed systems. arXiv. http://arxiv.org/abs/1603.04467
2. Convolutional Neural Networks for Speech Recognition
3. Bastien, F., Lamblin, P., & Pascanu, R. (2012). Theano: new features and speed improvements. arXiv. http://arxiv.org/abs/1211.5590
4. Predictive data mining in clinical medicine: Current issues and guidelines
5. Learning Deep Architectures for AI