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 deliveryOffers interdisciplinary insights across biomedical engineering, AI, and healthcare technologyProvides real-world case studies in cancer, diabetes, and nanoroboticsAddresses ethical, legal, and regulatory challenges comprehensivelyIncludes practical guidance for developing and implementing AI-driven drug delivery systems

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 deliveryOffers interdisciplinary insights across biomedical engineering, AI, and healthcare technologyProvides real-world case studies in cancer, diabetes, and nanoroboticsAddresses ethical, legal, and regulatory challenges comprehensivelyIncludes practical guidance for developing and implementing AI-driven drug delivery systems