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The Application of AI in Drug Discovery: Challenges, Opportunities, and Strategies
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Author(s): Ihtiram Raza Khan (Jamia Hamdard, India), Veena Grover (Noida Institute of Engineering and Technology, Greater Noida, India), Iram Fatima (Jamia Hamdard, India), Mehtab Alam (Jamia Hamdard, India)and Naved Ahmad (Jamia Hamdard, India)
Copyright: 2024
Pages: 18
Source title:
Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry
Source Author(s)/Editor(s): Veena Grover (Noida Institute of Engineering and Technology, India), Balamurugan Balusamy (Manipal Academy of Higher Education, Dubai, UAE), Nallakaruppan M.K. (Vellore Institute of Technology, India), Vijay Anand (Vellore Institute of Technology, India)and Mariofanna Milanova (University of Arkansas at Little Rock, USA)
DOI: 10.4018/979-8-3693-5468-1.ch010
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Abstract
The integration of artificial intelligence (AI) into drug discovery represents a transformative milestone in the field of healthcare. With the advent of AI technologies, researchers are equipped with unprecedented tools to address the intricate challenges that inherent in drug development. This chapter explores the profound impact of AI on revolutionizing the pharmaceutical industry, offering novel solutions to enhance research and development (R&D) performance and accelerate therapeutic innovation. The chapter also highlights the critical role of AI-enabled platforms in identifying promising drug prospects and presents a roadmap for effective integration strategies. Additionally, it delves into emerging techniques and applications at the forefront of AI-enabled drug research, offering insights into future opportunities and advancements in the field.
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