Call for Chapters: Transforming Pharmaceutical Research With Artificial Intelligence

Editors

MILTIADIS LYTRAS, Effat University, Greece
Sarah Alajlan, Almaarefa University, Saudi Arabia

Call for Chapters

Proposals Submission Deadline: May 12, 2024
Full Chapters Due: July 14, 2024
Submission Date: July 14, 2024

Introduction

In the swiftly evolving landscape of pharmaceutical research, the advent of digital technology stands as a transformative force, heralding new horizons in drug discovery, development, and distribution. "Transforming Pharmaceutical Research with Artificial Intelligence" is poised to be at the forefront of this revolution, offering a critical exploration of how artificial intelligence (AI) and digital innovations are reshaping the pharmaceutical industry. This book seeks to unite a diverse spectrum of perspectives, from the theoretical underpinnings of AI in pharma to practical applications and ethical considerations, setting the stage for the next generation of pharmaceutical advancements.

Objective

The primary objectives of this publication are to: Provide a comprehensive overview of the current state and future potential of AI in pharmaceutical research. Explore the challenges, opportunities, and best practices associated with implementing AI technologies in the pharma sector. Facilitate a dialogue among researchers, practitioners, and policymakers on the ethical implications of digital transformation in healthcare. Serve as a seminal reference for scholars, industry professionals, and anyone interested in the intersection of AI and pharmaceutical sciences.

Target Audience

The intended audience for this publication encompasses a wide spectrum of professionals and academics. Researchers in pharmaceutical sciences, technology experts, healthcare practitioners, policy-makers, students and industry professionals will find valuable insights into the evolving landscape of digital transformation in the pharmaceutical sector. Academics seeking to integrate real-world industry perspectives into their curricula will also benefit from the book's practical approach.

Recommended Topics

The book will cover a wide range of topics within the domain of AI in pharmaceutical research, including but not limited to: The role of AI in drug discovery and development Machine learning models for predictive analytics in pharma Digital ethics and regulatory considerations Case studies on successful AI integration in pharmaceutical projects Future directions and emerging technologies in the field Indicative Topics: Introduction to AI in Pharmaceutical Research Foundations of Machine Learning and Data Science in Drug Discovery AI-driven Approaches to Virtual Screening and Lead Optimization Predictive Modeling in Pharmacokinetics and Pharmacodynamics Target Identification and Validation Using Artificial Intelligence Molecular Design and Optimization with Machine Learning Techniques Application of Deep Learning in Bioinformatics and Genomics AI in Clinical Trial Design and Patient Recruitment Real-world Evidence and AI in Healthcare Analytics Ethical and Regulatory Considerations in AI-driven Pharmaceutical Research AI and Machine Learning Applications in Drug Discovery Blockchain Technology in Pharma Supply Chain Management Digital Twins and Their Role in Pharmaceutical Manufacturing Ethical Considerations in AI for Pharma Virtual Reality and Gamification in Pharma Training

Submission Procedure

Researchers and practitioners are invited to submit on or before May 12, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by May 26, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by July 14, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Transforming Pharmaceutical Research With Artificial Intelligence. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

May 12, 2024: Proposal Submission Deadline
May 26, 2024: Notification of Acceptance
July 14, 2024: Full Chapter Submission
August 18, 2024: Review Results Returned
September 15, 2024: Final Acceptance Notification
September 22, 2024: Final Chapter Submission



Inquiries

MILTIADIS LYTRAS Effat University mlytras@acg.edu Sarah Alajlan Almaarefa University pharmd.alajlan@gmail.com

Classifications


Education; Medical, Healthcare, and Life Sciences; Science and Engineering
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