Buch, Englisch, 258 Seiten, Format (B × H): 214 mm x 276 mm, Gewicht: 957 g
Tools, Techniques, and Technologies
Buch, Englisch, 258 Seiten, Format (B × H): 214 mm x 276 mm, Gewicht: 957 g
ISBN: 978-0-443-33263-0
Verlag: Elsevier Science
Advancing Early Diagnosis in Chronic Diseases: Tools, Techniques, and Technologies explores the transformative potential of early detection strategies and technologies in reshaping chronic disease outcomes. Addressing the urgent need for innovative approaches for managing conditions such as cardiovascular diseases, diabetes, cancer, neurodegenerative disorders, and pediatric, chronic conditions, this book underscores the importance of timely interventions to reduce disease burden. The book provides a comprehensive overview of cutting-edge tools, including predictive biomarkers, artificial intelligence, genomic and proteomic screening, wearable health devices, digital twins, and point-of-care testing. Readers will gain insights into how these advancements revolutionize early diagnosis and personalized treatment.
Written by experts from interdisciplinary fields, the book bridges the gap between scientific discovery and clinical application, addressing challenges such as knowledge gaps, integration barriers, and accessibility of diagnostic innovations. It covers a broad spectrum of chronic conditions, including metabolic, inflammatory, respiratory, renal, hepatic, and neurodegenerative diseases, with added focus on pediatric patients and early detection in childhood disorders.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. Introduction to Chronic Diseases and the Need for Early Detection
2. Multi-System Chronic Diseases: Biomarkers and Diagnostic Advances
3. Diabetes and Metabolic Disorders: Early Identification and Monitoring Strategies
4. Cancer Detection: Screening Tools and Biomarker Discoveries
5. Neurodegenerative Diseases: Biomarkers and Early Diagnostic Techniques
6. Respiratory Diseases: Innovations in Early Diagnosis
7. Renal and Hepatic Disorders: Early Indicators and Diagnostic Tools
8. Personalized Medicine and Preventive Health: Digital Twins and Predictive Analytics
9. AI and Biomedical Engineering in Chronic Disease Diagnosis
10. Global Challenges in Chronic Disease Detection: Multidisciplinary Approaches
11. Future Perspectives: Toward Universal Early Detection of Chronic Diseases




