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Elsevier

Robotic Drug Delivery with AI

A Biomedical Engineering Approach

  • 1st Edition - February 1, 2027
  • Latest edition
  • Editors: Prabhnoor Bachhal, Vatsala Anand, Durgesh Srivastava, Om Shankar
  • Language: English

Robotic Drug Delivery with AI: A Biomedical Engineering Approach explores the cutting-edge integration of artificial intelligence and robotics in personalized drug delivery. Addres… Read more

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Description

Robotic Drug Delivery with AI: A Biomedical Engineering Approach explores the cutting-edge integration of artificial intelligence and robotics in personalized drug delivery. Addressing the urgent need for precision medicine, this reference presents innovative approaches to tailor therapies to individual patients, enhancing treatment efficacy and reducing adverse effects. It fills a critical gap by linking engineering advances with clinical practice, offering researchers and practitioners a comprehensive resource. The book is organized into six parts covering foundational concepts of AI and robotics in healthcare, core technologies behind AI-driven drug delivery systems, clinical applications in chronic diseases and special populations, ethical and regulatory frameworks, and detailed case studies on cancer, diabetes, and nanomedicine. Each chapter includes learning objectives, definitions, case studies, and future directions to facilitate understanding and application. This volume benefits biomedical engineers, healthcare technologists, pharmaceutical researchers, and clinicians by providing a thorough exploration of AI-robotics integration in drug delivery. It equips readers to develop efficient, patient-specific treatment systems, navigate regulatory landscapes, and implement ethical AI solutions, advancing personalized healthcare worldwide.

Key features

  • Explains integration of AI and robotics for personalized drug delivery
  • Offers interdisciplinary insights across biomedical engineering, AI, and healthcare technology
  • Provides real-world case studies in cancer, diabetes, and nanorobotics
  • Addresses ethical, legal, and regulatory challenges comprehensively
  • Includes practical guidance for developing and implementing AI-driven drug delivery systems

Readership

Researchers and postgraduate students in biomedical engineering, healthcare technology, computer science, and robotics, as well as academic faculty specializing in artificial intelligence, robotics, the Internet of Things (IoT), and healthcare technology

Table of contents

Part I: Introduction to AI-Driven Personalized Drug Delivery Systems

1. Foundations of Personalized Drug Delivery

2. Artificial Intelligence and Machine Learning in Healthcare

3. Robotics in Medicine: A Concise Overview

Part II: Core Technologies and AI/ML Applications in Robotic Drug Delivery and Diagnostics

4. Key Components of AI-Driven Drug Delivery Systems

5. Robotics and Automation in Drug Delivery

6. Integration of AI and Robotics in Drug Delivery

Part III: Clinical Applications of AI-Driven Robotic Systems

7. AI in Personalized Drug Delivery for Chronic Diseases

8. AI and Robotics in Precision Drug Delivery for Cancer Treatment

9. Personalized Drug Delivery in Pediatric and Geriatric Medicine

10. AI-Driven Robotics in Clinical Applications

Part IV: Ethical, Regulatory, and Practical Considerations

11. Ethical Implications of AI in Healthcare

12. Regulatory Challenges and Compliance in AI-Driven Drug Delivery

13. Future Trends and Innovations in AI-Driven Robotic Drug Delivery

Part V: Case Studies and Real-World Applications

14. AI-Driven Robotic Drug Delivery in Cancer Treatment

15. Smart Delivery Systems for Diabetes Management

16. Robotic Nanomedicine in Targeted Drug Delivery

Part VI: Conclusion and Future Directions

17. Conclusion: Shaping the Future of Healthcare with AI and Robotics

Product details

  • Edition: 1
  • Latest edition
  • Published: February 1, 2027
  • Language: English

About the editors

PB

Prabhnoor Bachhal

Dr. Prabhnoor Bachhal serves as an Assistant Professor at Chitkara University Institute of Engineering & Technology in Rajpura, Punjab, India. She earned her Ph.D. in Computer Science & Engineering from Chitkara University in 2024. Dr. Bachhal completed her B.Tech. and M.Tech. in Computer Science & Engineering, with a focus on AI and its applications. She has contributed numerous papers to national and international journals and conferences, focusing on AI, machine learning, and healthcare technologies. She holds several patents and has actively organized and participated in workshops throughout her academic career. Her expertise lies in the development and application of AI-driven systems to solve real-world engineering challenges in healthcare and biomedical domains.
Affiliations and expertise
Assistant Professor, Chitkara University Institute of Engineering and Technology, Punjab, India

VA

Vatsala Anand

Dr. Vatsala Anand is an Assistant Professor at Maharaja Agrasen University, Himachal Pradesh, India. She holds a Ph.D. in Electronics and Communication Engineering from Chitkara University, where her doctoral research focused on developing deep learning models for skin disease diagnosis. Recognized in 2024 by Stanford University as one of the world’s top 2% scientists, Dr. Anand's research interests encompass digital image processing, machine learning, deep learning, artificial intelligence, computer vision, and biomedical engineering. She has published over 182 research papers and articles in reputable international journals and conferences. Dr. Anand is also an inventor with approximately 10–12 patents to her name. Her work bridges advanced AI technologies and biomedical applications, positioning her as a leading expert in AI-driven healthcare solutions. She actively contributes to academic and research communities and mentors students in cutting-edge biomedical engineering research.
Affiliations and expertise
Department of Computer Science and Engineering, Maharaja Agrasen University, Baddi, Himachal Pradesh, India

DS

Durgesh Srivastava

Dr. Durgesh Srivastava is a Professor and Head of the Department of Computer Science & Engineering at Chitkara University Institute of Engineering & Technology, Rajpura, Punjab, India. He earned his Ph.D. in Computer Science & Engineering from IKG Punjab Technical University in 2020. With over 16 years of research and academic experience, Dr. Srivastava specializes in machine learning, soft computing, natural language processing, pattern recognition, and software engineering. He has published more than 60 papers in reputed international and national journals and conferences. Dr. Srivastava also brings extensive editorial experience, serving as an editor for leading publishers. He holds multiple patents and copyrights related to computer software and actively participates in workshops and academic events. His interdisciplinary expertise supports the integration of AI technologies into biomedical applications.
Affiliations and expertise
Professor and Head, Department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Punjab, India

OS

Om Shankar

Prof. (Dr.) Om Shankar is a Professor of Cardiology at the Institute of Medical Sciences, Banaras Hindu University (BHU), Varanasi, India. He is renowned for his expertise in cardiac and cardiovascular systems and is also recognized for his social activism. His clinical and research interests lie in advancing cardiovascular medicine, with a focus on integrating innovative technologies such as AI and robotics into patient care. Prof. Shankar's contributions bridge medical sciences and emerging healthcare technologies, providing critical insights into personalized medicine approaches for cardiac patients. He is actively involved in mentoring medical professionals and researchers in the evolving field of AI-enhanced healthcare.
Affiliations and expertise
Professor of Cardiology, Institute of Medical Sciences, Banaras Hindu University (BHU), Varanasi, India