Long Covid Fatigue: Clinical Sciences, Artificial Intelligence and the Future of Brain Health
暫譯: 長期新冠疲勞：臨床科學、人工智慧與大腦健康的未來

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.

Thorsten Rudroff 博士 是芬蘭土爾庫大學 (University of Turku) 及土爾庫大學醫院 (Turku University Hospital) 的實驗神經影像學教授 (Docent)。他曾擔任美國愛荷華大學 (University of Iowa) 的副教授及科羅拉多州立大學 (Colorado State University) 的助理教授。擁有超過 20 年的神經生理學研究經驗，他在理解神經疾病中的疲勞和認知功能障礙方面做出了重要貢獻，特別是在多發性硬化症 (Multiple Sclerosis) 和長期新冠 (Long COVID) 的研究中。他的科學工作包括在多本知名期刊上發表超過 85 篇論文。Rudroff 博士在德國康斯坦茨大學 (University of Constance) 獲得神經生理學博士學位，並在科羅拉多大學博爾德分校 (University of Colorado, Boulder) 完成博士後訓練。他特別熱衷於利用人工智慧 (artificial intelligence) 來推進醫學研究並改善病人結果。Rudroff 博士擔任多個編輯委員會成員，並獲得了來自美國國家衛生研究院 (National Institutes of Health) 的多項重要研究經費。他目前的研究專注於神經影像學、人工智慧與長期新冠的交集，特別強調開發創新方法以理解和治療疲勞症狀。此外，他的研究重點是通過神經影像生物標記開發基於人工智慧的早期檢測阿茲海默症 (Alzheimer's Disease) 的方法。