Long COVID Fatigue

Clinical Sciences, Artificial Intelligence and the Future of Brain Health
Erscheinungsjahr 2025
ISBN: 978-3-031-89473-2
Verlag: Springer Nature Switzerland

Buch, Englisch, 181 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 512 g

This book provides the first comprehensive analysis of Long COVID fatigue through the lens of advanced neuroimaging and artificial intelligence. By integrating cutting-edge research findings with clinical applications, it bridges a critical gap between basic science and patient care in the rapidly evolving field of post-viral syndromes.

The volume is uniquely structured to guide readers from fundamental concepts through to future innovations, making complex neurobiological mechanisms accessible to both researchers and clinicians. Each chapter builds upon the previous, creating a coherent narrative that connects molecular mechanisms to clinical manifestations. The integration of artificial intelligence applications in diagnosis and treatment represents a pioneering approach in Long COVID literature.

This work fills a crucial knowledge gap by providing:

- Detailed analysis of brain metabolic patterns in Long COVID fatigue

- Novel insights into protective mechanisms, including metabolic heterogeneity in the basal ganglia

- Practical guidelines for implementing AI-enhanced diagnostic and treatment approaches

- Clear pathways for translating research findings into clinical practice

By combining rigorous scientific analysis with practical clinical applications, this book serves as both a current reference and a roadmap for future developments in Long COVID research and treatment. It is focused on how to comprehensively integrate neuroimaging, AI, and clinical practice in addressing Long COVID fatigue.

Its main objectives are providing a comprehensive understanding of Long COVID fatigue mechanisms; presenting evidence-based approaches for diagnosis and treatment; showcasing innovative applications of AI in medical imaging; establishing a framework for future research directions; offering practical guidelines for clinical management.

This book is tailored for neurologists and neuroscientists, COVID-19 specialists and researchers, radiologists and imaging specialists, healthcare providers managing Long COVID patients, AI researchers in medical applications, and graduate students and postdoctoral researchers in related fields.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Rudroff, Thorsten

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Immunologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Neurologie, Klinische Neurowissenschaft
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Bildgebende Verfahren, Nuklearmedizin, Strahlentherapie Radiologie, Bildgebende Verfahren
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen

Inhaltsverzeichnis

1. A Mysterious Malaise.- 2. Understanding Fatigue.- 3. Factors contributing to Long COVID Fatigue.- 4. Sex-Based Differences.- 5. Age-Related Considerations.- 6. Children and Long COVID Fatigue.- 7. The Science of Long COVID Fatigue.- 8. Cellular and Neurological Mechanisms in Long COVID Fatigue.- 9. Integration and Clinical Applications.- 10. Neuroimaging as a Window into Long COVID Fatigue.- 11. Neuroimaging Biomarkers in Long COVID Fatigue: Advanced Techniques and Clinical Applications.- 12. Risk Factors and Predictors of Long COVID Fatigue.- 13. Vaccination Status and Long COVID Fatigue.- 14. Diagnosis of Long COVID Fatigue.- 15. Core Treatment Approaches for Long COVID Fatigue.- 16. Pharmacological and Non-Pharmacological Interventions.- 17. Revealing the Complexity of Long COVID Fatigue: Challenges and Promises of Artificial Intelligence.- 18. Final Remarks: Long COVID Fatigue in Brain Health Research: A Call to Action.

Über Autor(innen)

Dr. Thorsten Rudroff is a Professor (Docent) in Experimental Neuroimaging at the Turku PET Centre, University of Turku and Turku University Hospital, Finland. He previously held positions as Associate Professor at the University of Iowa and Assistant Professor at Colorado State University, USA. With over 20 years of experience in neurophysiology research, he has made significant contributions to understanding fatigue and cognitive dysfunction in neurological disorders, particularly in Multiple Sclerosis and Long COVID. His scientific work includes over 85 publications in prestigious journals. Dr. Rudroff received his Ph.D. in Neurophysiology from the University of Constance, Germany, and completed his postdoctoral training at the University of Colorado, Boulder. He is particularly passionate about leveraging artificial intelligence to advance medical research and improve patient outcomes. Dr. Rudroff serves on multiple editorial boards and has received several significant research grants from the National Institutes of Health. His current research focuses on the intersection of neuroimaging, artificial intelligence, and Long COVID, with particular emphasis on developing innovative approaches to understand and treat fatigue symptoms. Furthermore, his focus is on developing AI-driven approaches for early detection of Alzheimer's Disease through neuroimaging biomarkers.