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AkiNik Publications

Publish a Book Chapter in "Artificial Intelligence in Pharmaceutical Technology (Volume - 5)"

Call for Chapters: Artificial Intelligence in Pharmaceutical Technology | Submit Your Chapter


"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.


Author can download pharmaceutical science edited books authorship responsibility and copyright form: Click Here

Indexed In:
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Coverpage of Artificial Intelligence in Pharmaceutical Technology, pharmaceutical science edited book
Book Scope


  • Ethical Considerations of AI in Pharmaceuticals
  • AI in Biotechnology
  • AI in Drug Safety and Regulatory Compliance
  • AI in Disease Prevention
  • Artificial Intelligence for Personalized Medicine
  • AI in Pharmaceutical Research and Development (R&D)
  • AI in Clinical Trials
  • Machine Learning in Pharmaceutical Manufacturing
  • AI in Drug Design
  • AI in Drug Discovery
  • AI in Drug Discovery Process and Design
  • AI in Research and Development
  • AI in Diagnosis
  • AI in Identifying Clinical Trial Candidates
  • AI in Drug Adherences and Dosage
  • AI in Disease Prevention
  • AI in Remote Monitoring
  • AI in Pharmaceutical Manufacturing
  • AI in Pharmaceutical Marketing




To download guidelines: Click here

Editor(s)


Dr. Akhil Sharma editor of edited book on pharmaceutical science
Dr. Akhil Sharma

Principal, R.J. College of Pharmacy, Raipur, Aligarh, Uttar Pradesh, India

Dr. Shaweta Sharma editor of edited book on pharmaceutical science
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
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