Buch, Englisch, 232 Seiten, Format (B × H): 156 mm x 234 mm
Opportunities, Privacy and Challenges
Buch, Englisch, 232 Seiten, Format (B × H): 156 mm x 234 mm
ISBN: 978-1-041-01737-0
Verlag: Taylor & Francis Ltd
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 which demonstrate how these technologies have already been used to help develop new therapeutic possibilities, it also offers 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 practising pharmacists and pharmacologists working in drug research and development.
Zielgruppe
Postgraduate and Professional Reference
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Pharmazie
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie Medizinische Biotechnologie
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Pharmakologie, Toxikologie
Weitere Infos & Material
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.
