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 90 publications in prestigious journals and the Springer book "Long COVID Fatigue," which addresses the neurological underpinnings of this prevalent post-viral syndrome. 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.

• Part I. Foundations and Applications.- 1. Foundations of AI in Modern Neuroscience.- 2. Multimodal Analysis and Neurological Disorders.- 3. Biomimetic AI and the Brain.- 4. AI in Clinical Neuroscience Practice.- Part II. Ethical Dimensions and Challenges.- 5. Decoding Thoughts, Encoding Ethics.- 6. Consent and Autonomy in the Age of Predictive Neuroscience.- 7. Bias and Justice in Neurological AI.- 8. Replacing Animal Models with AI.- Part III. AI in the Anti-Science Era.- 9. The Global Anti-Science Movement and Neuroscience.- 10. Market Forces and Scientific Integrity.- 11. Academic Freedom in AI Neuroscience Research.- 12. The Politics of Brain Science.- Part IV. Solutions and Resistance Models.- 13. AI as a Tool Against Misinformation.- 14. Institutional Models for Scientific Integrity in Neuroscience Research.- 15. Global Collaboration in an Age of Nationalism.- 16. Engaging the Public.- Part V. The Future Landscape.- 17. The Long View for Brain Health Research.- 18. A Framework for Responsible Innovation.- 19. Scientists as Advocates.- 20. Epilogue: Charting the Path Forward.

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 90 publications in prestigious journals and the Springer book "Long COVID Fatigue," which addresses the neurological underpinnings of this prevalent post-viral syndrome. 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.

• Part I. Foundations and Applications.- 1. Foundations of AI in Modern Neuroscience.- 2. Multimodal Analysis and Neurological Disorders.- 3. Biomimetic AI and the Brain.- 4. AI in Clinical Neuroscience Practice.- Part II. Ethical Dimensions and Challenges.- 5. Decoding Thoughts, Encoding Ethics.- 6. Consent and Autonomy in the Age of Predictive Neuroscience.- 7. Bias and Justice in Neurological AI.- 8. Replacing Animal Models with AI.- Part III. AI in the Anti-Science Era.- 9. The Global Anti-Science Movement and Neuroscience.- 10. Market Forces and Scientific Integrity.- 11. Academic Freedom in AI Neuroscience Research.- 12. The Politics of Brain Science.- Part IV. Solutions and Resistance Models.- 13. AI as a Tool Against Misinformation.- 14. Institutional Models for Scientific Integrity in Neuroscience Research.- 15. Global Collaboration in an Age of Nationalism.- 16. Engaging the Public.- Part V. The Future Landscape.- 17. The Long View for Brain Health Research.- 18. A Framework for Responsible Innovation.- 19. Scientists as Advocates.- 20. Epilogue: Charting the Path Forward.