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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
Indexed in Crossref Indexed in Bowker Indexed in R-Access Indexed in Dimensions Indexed in Google Play Books
Coverpage of Artificial Intelligence in Pharmaceutical Technology, pharmaceutical science edited book
Book Scopes

  • 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


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

28 Feb 2026


Author Guidelines



Submit Chapter

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Frequently Asked Questions

  • help_outline What is Artificial Intelligence in Pharmaceutical Technology? expand_more
    Artificial Intelligence in Pharmaceutical Technology is an edited academic book that explores the integration of artificial intelligence (AI) within pharmaceutical sciences. It focuses on how AI tools and machine learning techniques are transforming various stages of pharmaceutical research, development, manufacturing, and healthcare delivery — including drug discovery, drug design, clinical trials, personalized medicine, and pharmaceutical operations.
  • help_outline What topics are covered in this book? expand_more
    The book covers a broad range of topics such as AI in drug discovery and design, machine learning applications in pharmaceutical manufacturing, AI in clinical trials, AI for disease prevention and personalized medicine, ethical considerations of AI use in pharmaceuticals, AI in biotechnology, drug safety and regulatory compliance, pharmaceutical R&D, AI in diagnosis, remote monitoring, patient adherence, dosage optimization, and pharmaceutical marketing innovations.
  • help_outline Who can submit a chapter for this book? expand_more
    This book welcomes chapter submissions from academic researchers, pharmaceutical scientists, AI specialists, postgraduate and doctoral scholars, clinicians, data scientists, healthcare professionals, and industry experts working at the intersection of artificial intelligence and pharmaceutical technology who are interested in contributing original research or review chapters.
  • help_outline Is Artificial Intelligence in Pharmaceutical Technology peer-reviewed and indexed? expand_more
    Yes, this edited academic volume follows a double-blind peer review process to ensure academic quality and research rigor. After acceptance, the book will be published with both ISBN and DOI registration and indexed in major research databases such as Crossref, Bowker, R-Access, Dimensions, and Google Play Books, enhancing visibility and academic citation potential.
  • help_outline How should authors submit their chapters? expand_more
    Authors should submit their complete chapter manuscripts by emailing them to akinikbooks@gmail.com, ensuring that all submissions follow the author guidelines and manuscript formatting instructions provided on the book’s official page before submission.
  • help_outline What is the chapter submission deadline expand_more
    The deadline for chapter submissions is 28 Feb 2026. Authors are advised to submit their manuscripts before this date for consideration and review.

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