Machine Learning for Neurodegenerative Disorders: Advancements and Applications
暫譯: 神經退行性疾病的機器學習：進展與應用

本書探討機器學習在神經退行性疾病的理解、早期診斷和管理中的應用。特別關注其在持續臨床試驗中的角色，本書涵蓋了數據收集、預處理、特徵提取、模型開發和驗證技術等基本主題。它深入探討了神經影像技術如磁共振成像（MRI）、電腦斷層掃描（CT）和正子發射斷層掃描（PET）在神經退行性疾病診斷和理解中的應用。此外，本書還檢視了用於神經退行性疾病生物標記發現的各種機器學習算法。它強調神經資訊學和大數據分析在推進神經退行性疾病理解和管理中的作用。此外，本書回顧了未來的前景，並提出了在神經退行性疾病的診斷、治療和預防中實施機器學習方法所面臨的倫理考量和監管挑戰。這本綜合性資源旨在幫助神經科學家、學生、研究人員和神經科醫生理解機器學習在神經退行性疾病中日益擴展的範疇。

Dr. Biswajit Jena is an assistant professor in the Computer Science and Engineering Department at ITER, SOA (Deemed to be University), Bhubaneswar, India. He received his PhD from IIIT-Bhubaneswar, India, in Biomedical Image Analysis, which employs Artificial Intelligence, and his MTech degree in Computer Science and Engineering from NIT, Rourkela, India. His broad research interests are biomedical image processing, neuro-oncology, radiogenomics, machine learning, and deep learning. He has published over 30 journal and conference papers and has contributed his knowledge as an editorial board member and reviewer for multiple international journals.

Dr. Sanjay Saxena is the Director and CEO of Research, Innovation, Projects, Incubation and Technology Transfer (RIPITT) Foundation and serves as Assistant Professor in the Computer Science Department at IIIT Bhubaneswar. He obtained his PhD from the Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh, India, and completed his postdoctoral research at the Artificial Intelligence in Biomedical Imaging Lab, University of Pennsylvania, Philadelphia, PA, United States. Dr. Saxena's primary research area includes developing AI-based methods for brain cancer analysis, with a broader focus on data science, machine learning, deep learning, and the emerging fields of radiomics and radiogenomics. His tenure under Professor Christos Davatzikos at the University of Pennsylvania was instrumental in his significant learning about radiomics/radiogenomics. He has presented his work at globally recognized universities such as Imperial College London, Stony Brook University, and Vienna University of Technology and has made substantial scholarly contributions to several peer-reviewed journals, conference publications, books, and book chapters.

Dr. Sudip Paul is currently an Associate Professor in the Department of Biomedical Engineering at North-Eastern Hill University, Shillong, India. He completed his post-doctoral research at the School of Computer Science and Software Engineering, the University of Western Australia, Perth, under the scheme of Biotechnology Overseas Associateship for the Scientists working in the North Eastern States of India: 2017-18, supported by the Department of Biotechnology, Government of India. He received his PhD from the Indian Institute of Technology (Banaras Hindu University), Varanasi, with a specialization in electrophysiology and brain signal analysis. He also organized many workshops and conferences, most significant are the Indian Academy of Neuroscience Annual Meeting 2022, IEEE Conference on Computational Performance Evaluation 2020 and 2021; IRBO/APRC Associate School 2017; IBRO Global Engagement 2021; IBRO Meeting 2021 and the 29th Annual meeting of the Society for Neurochemistry, India 2015. Dr. Sudip has published nearly 60 international/national journal papers and more than 40 conference papers on different international/national platforms. He filed eight patents, of which four were granted. He completed 20 book projects with Springer Nature, Elsevier, IGI Global, etc., as an editor/author. Dr. Sudip is a senior member of IEEE and also a member of different societies and professional bodies, including IEEE-IAS, APSN, ISN, IBRO, etc. He received many awards, especially the World Federation of Neurology (WFN) traveling fellowship, Young Investigator Award, IBRO Travel Awardee, and ISN Travel Awardee. Dr. Sudip also contributed his knowledge in different international journals as an editorial board member and reviewer. He has presented his research accomplishments in many countries, such as the USA, Greece, France, South Africa, and Australia.

比斯瓦吉特·杰納博士是印度布巴內斯瓦爾ITER（被認定為大學）計算機科學與工程系的助理教授。他在印度布巴內斯瓦爾的IIIT獲得生物醫學影像分析的博士學位，該研究領域運用了人工智慧，並在印度羅爾凱拉的NIT獲得計算機科學與工程的碩士學位。他的廣泛研究興趣包括生物醫學影像處理、神經腫瘤學、放射基因組學、機器學習和深度學習。他已發表超過30篇期刊和會議論文，並作為多個國際期刊的編輯委員會成員和審稿人貢獻他的知識。

桑賈伊·薩克塞納博士是研究、創新、項目、孵化和技術轉移（RIPITT）基金會的董事兼首席執行官，同時擔任印度IIIT布巴內斯瓦爾計算機科學系的助理教授。他在印度烏塔爾普拉德什的瓦拉納西印度理工學院（BHU）獲得博士學位，並在美國賓夕法尼亞大學的生物醫學影像人工智慧實驗室完成博士後研究。薩克塞納博士的主要研究領域包括開發基於人工智慧的腦癌分析方法，並廣泛關注數據科學、機器學習、深度學習以及新興的放射組學和放射基因組學領域。他在賓夕法尼亞大學的克里斯托斯·達瓦齊科斯教授的指導下，對放射組學/放射基因組學有了重要的學習。他曾在全球知名的大學如倫敦帝國學院、石溪大學和維也納科技大學展示他的研究成果，並對多個同行評審的期刊、會議出版物、書籍和書籍章節做出了重要的學術貢獻。

蘇迪普·保羅博士目前是印度希隆的東北山大學生物醫學工程系的副教授。他在澳大利亞西部大學計算機科學與軟體工程學院完成博士後研究，該研究計畫是由印度政府生物技術部支持的，旨在為在印度東北地區工作的科學家提供生物技術海外合作機會：2017-18。他在印度瓦拉納西的印度理工學院（班納拉斯印度大學）獲得博士學位，專攻電生理學和腦信號分析。他還組織了許多研討會和會議，其中最重要的包括2022年印度神經科學學會年會、2020年和2021年IEEE計算性能評估會議；2017年IRBO/APRC聯合學校；2021年IBRO全球參與；2021年IBRO會議以及2015年第29屆印度神經化學學會年會。蘇迪普博士已在不同的國際/國內平台上發表近60篇期刊論文和超過40篇會議論文。他申請了八項專利，其中四項獲得批准。他作為編輯/作者完成了20個與Springer Nature、Elsevier、IGI Global等合作的書籍項目。蘇迪普博士是IEEE的資深會員，並且是包括IEEE-IAS、APSN、ISN、IBRO等在內的不同學會和專業機構的成員。他獲得了許多獎項，特別是世界神經學聯合會（WFN）旅行獎學金、青年研究者獎、IBRO旅行獎和ISN旅行獎。蘇迪普博士還作為編輯委員會成員和審稿人，為不同的國際期刊貢獻他的知識。他在美國、希臘、法國、南非和澳大利亞等多個國家展示了他的研究成果。