Shaik Aminabee, Atmakuri Lakshmana Rao

AI and Drug Development (eBook, ePUB)

Opportunities, Privacy and Challenges

• Format: ePub

Produktbeschreibung

This important book shines a light on the potential benefits of artificial intelligence (AI) to support advances in drug discovery and development, while also highlighting critical issues around patient confidentiality and ethical practice.

In an era of rapid technological advancement, the book offers a comprehensive assessment of both the challenges and opportunities that AI offers the pharmaceutical sector, explaining how AI and machine learning can support the drug development research process. Illustrated with international case studies that demonstrate how these technologies have already been used to help develop new therapeutic possibilities, it also offers a discussion of ethical concerns around privacy and data protection. By thus taking into account both the technological and ethical issues of AI, the book seeks to present a fair and impartial perspective on the role of AI in further global healthcare.

The book will interest to students and researchers across the Health Science, but particularly in Pharmacy, Pharmacology and related fields, as well as those concerned with AI itself. It will also appeal to practicing pharmacists and pharmacologists working in drug research and development.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 204
• Erscheinungstermin: 24. November 2025
• Englisch
• ISBN-13: 9781040652893
• Artikelnr.: 75700536

Autorenporträt

Shaik Aminabee, Professor and Head, Department of Pharmacology, Vallabhaneni Venkatadri Institute of Pharmaceutical Sciences, Gudlavalleru, Krishna District, Andhra Pradesh, India.

Atmakuri Lakshmana Rao, Professor and Principal, Vallabhaneni Venkatadri Institute of Pharmaceutical Sciences, Gudlavalleru, Krishna District, Andhra Pradesh, India.

Inhaltsangabe

1.Introduction to AI in Drug Discovery. 2.AI Technologies and Tools in Drug
Discovery. 3.Data Collection and Management for AI in Drug Discovery.
4.AI-Driven Drug Target Identification. 5.AI in Drug Design and
Optimization. 6.Preclinical and Clinical Development Using AI. 7.Regulatory
Considerations and Ethical Implications. 8.Case Studies of AI in Drug
Discovery. 9.Future Trends in AI-Powered Drug Discovery. 10.Practical
Applications and Strategies for Implementation.