Published 17-04-2023
Keywords
- AI,
- Drug Discovery,
- Precision Medicine,
- Computational Drug Design,
- Bioinformatics
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
How to Cite
Abstract
The advent of Artificial Intelligence (AI) has revolutionized the field of drug discovery and development, particularly in the context of precision medicine. This research paper explores the various AI-driven approaches that have significantly accelerated the drug discovery and development processes, leading to more targeted and effective treatments. The paper discusses the key challenges in traditional drug discovery and how AI technologies, such as machine learning and deep learning, are being leveraged to overcome these challenges. It also highlights the implications of AI in enabling precision medicine, where treatments are tailored to individual patients based on their genetic, environmental, and lifestyle factors. Through a comprehensive review of recent advancements and case studies, this paper aims to provide insights into the future of AI-driven drug discovery and its potential to revolutionize the field of precision medicine.
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