Thorsten Rudroff – författare

This book offers the first comprehensive analysis of long COVID fatigue using advanced neuroimaging and artificial intelligence (AI). It bridges the gap between basic science and patient care in post-viral syndromes. The volume guides readers from fundamental concepts to future innovations, making complex neurobiological mechanisms accessible to researchers and clinicians. Each chapter builds on the previous, connecting molecular mechanisms to clinical manifestations. The integration of AI in diagnosis and treatment is a pioneering approach in long COVID literature. The book provides detailed analysis of brain metabolic patterns in long COVID fatigue, insights into protective mechanisms like metabolic heterogeneity in the basal ganglia, practical guidelines for AI-enhanced diagnostic and treatment approaches, and pathways for translating research into clinical practice. It combines rigorous scientific analysis with practical applications, serving as both a reference and a roadmap for future developments in long COVID research and treatment. The main objectives are to provide a comprehensive understanding of long COVID fatigue mechanisms, present evidence-based approaches for diagnosis and treatment, showcase innovative AI applications in medical imaging, establish a framework for future research, and offer practical clinical management guidelines. This book is tailored for neurologists, neuroscientists, COVID-19 specialists, radiologists, healthcare providers, AI researchers, and graduate students in related fields.

This book offers the first comprehensive analysis of long COVID fatigue using advanced neuroimaging and artificial intelligence (AI). It bridges the gap between basic science and patient care in post-viral syndromes. The volume guides readers from fundamental concepts to future innovations, making complex neurobiological mechanisms accessible to researchers and clinicians. Each chapter builds on the previous, connecting molecular mechanisms to clinical manifestations. The integration of AI in diagnosis and treatment is a pioneering approach in long COVID literature. The book provides detailed analysis of brain metabolic patterns in long COVID fatigue, insights into protective mechanisms like metabolic heterogeneity in the basal ganglia, practical guidelines for AI-enhanced diagnostic and treatment approaches, and pathways for translating research into clinical practice. It combines rigorous scientific analysis with practical applications, serving as both a reference and a roadmap for future developments in long COVID research and treatment. The main objectives are to provide a comprehensive understanding of long COVID fatigue mechanisms, present evidence-based approaches for diagnosis and treatment, showcase innovative AI applications in medical imaging, establish a framework for future research, and offer practical clinical management guidelines. This book is tailored for neurologists, neuroscientists, COVID-19 specialists, radiologists, healthcare providers, AI researchers, and graduate students in related fields.

This book offers the first comprehensive analysis of long COVID fatigue using advanced neuroimaging and artificial intelligence (AI). It bridges the gap between basic science and patient care in post-viral syndromes. The volume guides readers from fundamental concepts to future innovations, making complex neurobiological mechanisms accessible to researchers and clinicians. Each chapter builds on the previous, connecting molecular mechanisms to clinical manifestations. The integration of AI in diagnosis and treatment is a pioneering approach in long COVID literature. The book provides detailed analysis of brain metabolic patterns in long COVID fatigue, insights into protective mechanisms like metabolic heterogeneity in the basal ganglia, practical guidelines for AI-enhanced diagnostic and treatment approaches, and pathways for translating research into clinical practice. It combines rigorous scientific analysis with practical applications, serving as both a reference and a roadmap for future developments in long COVID research and treatment. The main objectives are to provide a comprehensive understanding of long COVID fatigue mechanisms, present evidence-based approaches for diagnosis and treatment, showcase innovative AI applications in medical imaging, establish a framework for future research, and offer practical clinical management guidelines. This book is tailored for neurologists, neuroscientists, COVID-19 specialists, radiologists, healthcare providers, AI researchers, and graduate students in related fields.

This book addresses a critical gap at the intersection of artificial intelligence, neuroscience, and the global crisis of anti-science sentiment. Unlike existing texts that focus solely on technical applications or ethical considerations, this work provides a comprehensive framework that integrates cutting-edge AI methodologies with practical strategies for navigating political and social resistance to scientific progress.The book's unique structure bridges three essential domains: technical innovation in neuroimaging and AI applications, ethical frameworks for responsible development, and actionable solutions for combating anti-science movements. Drawing from the international research experience of the Author across Germany, USA, and Finland, it offers rare cross-cultural insights into how different political systems impact neuroscience research and innovation. The primary objectives include:1) demonstrating how AI transforms neurological disorder detection and treatment, particularly for conditions like Alzheimer's, Multiple Sclerosis, and Long COVID2) establishing ethical guidelines for brain-computer interfaces and predictive neuroscience3) providing evidence-based strategies for scientists to maintain research integrity while engaging effectively with public skepticism, and4) creating institutional models that protect academic freedom in an era of increasing political polarization.This work is intended for multiple audiences: healthcare professionals implementing AI solutions, ethicists and policy makers developing governance frameworks, researchers seeking technical advancement, hand science advocates combating misinformation. It fills a crucial gap by being the first comprehensive text to address both the promise of AI in neuroscience and the societal challenges threatening its progress.The book's highly structured approach—progressing from technical foundations through ethical considerations to practical solutions—ensures readers gain both theoretical understanding and actionable strategies. By combining rigorous scientific content with accessible explanations and real-world case studies, it serves as both an academic reference and a practical guide for navigating the complex landscape of modern neuroscience.