Keywords:

Synopsis

Artificial Intelligence (AI) is transforming pharmaceutical sciences and healthcare by enabling faster drug discovery, improving disease diagnosis, supporting personalized medicine, optimizing pharmaceutical manufacturing, and enhancing clinical decision-making. The integration of AI with big data, machine learning, robotics, and digital health technologies has opened new avenues for innovation, making healthcare more precise, efficient, and patient-centered.

This book, Artificial Intelligence-Driven Innovations in Pharmaceutical Sciences: Emerging Research Trends, Smart Healthcare Technologies, and Future Therapeutic Strategies, presents a comprehensive overview of the latest developments in AI applications across pharmaceutical sciences and healthcare. It highlights recent advances in AI-assisted drug discovery, pharmaceutical formulation, pharmacovigilance, smart drug delivery systems, digital therapeutics, clinical decision support, healthcare analytics, and emerging therapeutic strategies.

In addition to technological advancements, the book discusses important ethical, legal, and regulatory considerations associated with AI implementation, including data privacy, transparency, algorithmic bias, and responsible innovation. These aspects are essential for ensuring the safe and effective adoption of AI in healthcare and pharmaceutical practice.

This volume is intended to serve as a valuable resource for students, researchers, academicians, healthcare professionals, pharmaceutical scientists, and industry experts. By combining scientific knowledge with practical applications, it aims to bridge the gap between pharmaceutical research, healthcare technology, and clinical practice while encouraging interdisciplinary collaboration.

We sincerely thank all contributing authors for their valuable scholarly contributions and dedication. We also express our gratitude to the reviewers for their insightful suggestions and to Mantra Publication for their support in bringing this book to fruition.

We hope this book will inspire further research, innovation, and collaboration in the rapidly evolving field of artificial intelligence and pharmaceutical sciences, ultimately contributing to the advancement of healthcare and improved patient outcomes worldwide.

Chapters List

Chapter 1: Artificial Intelligence and Indian Pharmacy Laws: A Legal Accountability, Compliance and Emerging Regulatory Frameworks
Dr. Neelam Bhavesh Dixit1, Adv. (Dr.) Hitali Dave2*

Chapter 2: Artificial Intelligence in Clinical Trials: Enhancing Efficiency, Patient Recruitment, and Drug Development
Dr. Kunal Thakur*1, Ms. Shreya Singh 2, Ms. Sneha Yadav 3, Ms. Jagruti Chauhan 4

Chapter 3: Use of AI tools in Herbal and Traditional Medicine Research: Transforming Drug Discovery, Quality Control, and Personalized Healthcare
Dr. Udaybhan Yadav

Chapter 4: Artificial Intelligence for Next-Generation Drug Discovery and Development
Dr. Kunal Thakur*1, Ms. Arpita Shukla 2, Ms. Roshni Mishra 3, Ms. RoshaniPrajapati4

Chapter 5: Employing Artificial Intelligence Protacs for Overcoming Sustainable Health Management Challenges in Present Era
Dr. Manoj Kumar Katual, Mrs. Saswati Jena & Dr Sanjay Kumar Jha

Chapter 6: AI Assisted Molecular Docking and Virtual Screening
Prof. (Dr.) Sweety1, Prof.(Dr) Manoj Kumar Katual 2, Mr. Parveen Yadav3

Chapter 7: Challenges and future aspects of AI in pharmaceuticals
Dr. Manoj Katual*¹, Ms. Anchal Sharma², Ms. Ankita2

Chapter 8: Emerging Trends in Clinical Research and Healthcare Technologies
Dr. Rajinder Kumar1, Dr. Manita Paneri2, Dr. Vikas Gupta3

Chapter 9: Artificial Intelligence in Clinical Pharmacology From Dose Optimization to Adverse Drug Reactions Prediction
Parul Singh*1, Afreen Kadir2

Chapter 10: Revamping Role of Artificial Intelligence in Psychological Public Health: An outbreak
Manoj Kumar Katual, Sanjay Kumar Jha, Saswati Jena

Chapter 11: AI in Pharmaceutical Manufacturing and Quality Assurance
Afreen Kadir*