"Artificial Intelligence in Pharmaceutical Technology" is an edited volume focusing on the integration of Artificial Intelligence (AI) within the field of pharmaceutical technology. This comprehensive book covers a wide range of topics such as AI in drug discovery, AI in pharmaceutical research and development (R&D), AI in drug design, machine learning for pharmaceutical manufacturing, and AI for disease prevention. These subjects, along with others, are elaborated in the Scope of the Book, providing a deep dive into how AI is revolutionizing various stages of pharmaceutical processes.
This edited book on pharmaceutical science will be published with an ISBN and DOI number following a rigorous double-blind peer review process to ensure the highest academic standards. The chapters are meticulously written and designed to offer clear, illustrative explanations that make complex concepts in pharmaceutical AI accessible to researchers, practitioners, and students.
By exploring the applications of artificial intelligence in drug discovery, AI-powered solutions for pharmaceutical manufacturing, and AI's role in advancing personalized medicine, this book presents cutting-edge research and practical insights. Whether you're looking into AI in clinical trials, machine learning models in pharma, or AI's potential in drug safety and regulatory compliance, this volume is a valuable resource for anyone interested in the future of AI in the pharmaceutical industry.
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Editor(s)![]() Dr. Akhil Sharma Principal, R.J. College of Pharmacy, Raipur, Aligarh, Uttar Pradesh, India ![]() Dr. Shaweta Sharma Associate Professor, Galgotias University, Yamuna Expressway, Greater Noida, Uttar Pradesh, India How To Submit Email your book chapter at akinikbooks@gmail.com Customer helpline number +91-9911215212, +91-9999779515 Deadline 31 May 2025 Submit Chapter To submit chapter: Click here OR Send your chapter on akinikbooks@gmail.com |