الصفحة 1
الصفحة 1
Nanomedicine : Innovations, applications, and breakthroughs in the quest for health and medicine's future
Revolutionizing healthcare, by providing innovative solutions to some of the most challenging issues in medicine. This book provides an in-depth overview of nanoscale materials and devices that are advancing diagnostics, therapeutics, and personalized care in medical field. It focuses on nanomedicine’s impact on vaccine efficacy as well as innovative diagnosis and therapy for various type of cancer while addressing concerns about safety and toxicity. It examines how nanotechnology is enhancing drug delivery by precisely targeting medicines to specific cells or tissues, thereby increasing treatment efficacy with reduced side effects. Explores how nanoparticles are advancing medical imaging for earlier and more accurate disease detection, and how nanosensors allow real-time biomarker monitoring for faster and more reliable diagnoses. Additionally, it explores nanomedicine's role in managing cardiovascular diseases, improving bone health through nano-extracellular vesicles, and regenerative medicine, including ongoing clinical trials and ethical considerations.
Integrated diagnostics and theranostics of thyroid diseases
Provides basic concepts on Integrated Diagnostics and Theranostics with special emphasis on different human thyroid diseases. Thyroid diseases are increasingly detected (incidentally in many cases) but are clinically negligible in a significant proportion of patients. Accordingly, it is urgent to move from the simple disease detection to a reliable disease characterization in order to concentrate efforts on patients in need of tailored disease management.
Healthcare solutions using machine learning and informatics
Covers novel and innovative solutions for the healthcare that apply machine learning and biomedical informatics technology. The healthcare sector is one of the most critical in society. This book presents a series of artificial intelligence, machine learning, intelligent IoT-based solutions for medical image analysis, medical big data processing, disease predictions. Machine learning and artificial intelligence use cases in healthcare presented in the book give researchers, practitioners, and students a wide range of practical examples of cross-domain convergence. The wide variety of topics covered include: Artificial Intelligence in healthcare Machine learning solutions for such disease as diabetes, arthritis, cardiovascular disease, and COVID-19 Big data analytics solutions for healthcare data processing Reliable biomedical applications using AI models Intelligent IoT in healthcare. The book explains fundamental concepts as well as the advanced use cases illustrating how to apply emerging technologies such as machine learning, AI models, data informatics into practice to tackle challenges in the field of healthcare with real-world scenarios. Chapters contributed by noted academicians and professionals examine various solutions, frameworks, applications, case studies, and best practices in the healthcare domain
AI in disease detection : Advancements and applications
Discusses the integration of artificial intelligence to revolutionize disease detection approaches, with case studies of AI in disease detection as well as insight into the opportunities and challenges of AI in healthcare as a whole. The book explores a wide range of individual AI components such as computer vision, natural language processing, and machine learning as well as the development and implementation of AI systems for efficient practices in data collection, model training, and clinical validation.
