Del i serien Medical Robotics and Computer Assisted Surgery: AI-enhanced, Data-driven, and Evidence-based Approaches

Robotic Drug Delivery with AI

A Biomedical Engineering Approach

Häftad, Engelska, 2027

AvPrabhnoor Bachhal,Vatsala Anand,Durgesh Srivastava,Om Shankar

2 589 kr

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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.

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

Produktinformation

Utgivningsdatum2027-02-01
Mått191 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieMedical Robotics and Computer Assisted Surgery: AI-enhanced, Data-driven, and Evidence-based Approaches
Antal sidor300
FörlagElsevier Science
ISBN9780443490729

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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. 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. 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. 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.

Part I: Introduction to AI-Driven Personalized Drug Delivery Systems1. Foundations of Personalized Drug Delivery2. Artificial Intelligence and Machine Learning in Healthcare3. Robotics in Medicine: A Concise OverviewPart II: Core Technologies and AI/ML Applications in Robotic Drug Delivery and Diagnostics4. Key Components of AI-Driven Drug Delivery Systems5. Robotics and Automation in Drug Delivery6. Integration of AI and Robotics in Drug DeliveryPart III: Clinical Applications of AI-Driven Robotic Systems7. AI in Personalized Drug Delivery for Chronic Diseases8. AI and Robotics in Precision Drug Delivery for Cancer Treatment9. Personalized Drug Delivery in Pediatric and Geriatric Medicine10. AI-Driven Robotics in Clinical ApplicationsPart IV: Ethical, Regulatory, and Practical Considerations11. Ethical Implications of AI in Healthcare12. Regulatory Challenges and Compliance in AI-Driven Drug Delivery13. Future Trends and Innovations in AI-Driven Robotic Drug DeliveryPart V: Case Studies and Real-World Applications14. AI-Driven Robotic Drug Delivery in Cancer Treatment15. Smart Delivery Systems for Diabetes Management16. Robotic Nanomedicine in Targeted Drug DeliveryPart VI: Conclusion and Future Directions17. Conclusion: Shaping the Future of Healthcare with AI and Robotics