Precision Digital Oncology: Disruptive Science in the Fight Against Cancer
暫譯: 精準數位腫瘤學:對抗癌症的顛覆性科學
Shafik, Wasswa, Pandey, Jay Kumar, Liu, Haipeng
- 出版商: CRC
- 出版日期: 2026-07-14
- 售價: $9,960
- 貴賓價: 9.5 折 $9,462
- 語言: 英文
- 頁數: 258
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041153597
- ISBN-13: 9781041153597
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相關分類:
DeepLearning
海外代購書籍(需單獨結帳)
商品描述
This book offers an in-depth exploration of how innovative technologies are reshaping the landscape of cancer diagnosis, treatment, and care by examining the intersection of precision medicine, digital health, and disruptive scientific advances in oncology and focusing on the integration of molecular profiling, artificial intelligence, and digital health infrastructures to revolutionize cancer care. Through 21 detailed chapters, the book covers a range of cutting-edge topics, including the application of AI and deep learning in oncologic imaging, the rise of liquid biopsy techniques for non-invasive cancer detection, and the powerful synergy of radiogenomics in personalizing patient treatment. It delves into how multi-omics integration and systems biology are being leveraged to understand tumor biology better, predict disease progression, and identify novel therapeutic targets. The book also addresses the evolving role of AI in predictive modeling and decision support systems, providing clinicians with advanced tools for risk stratification and prognostic analysis. It explores the ethical and regulatory challenges of integrating digital technologies into clinical practice and offers a global perspective on the barriers to equitable access in cancer care. Designed for oncologists, researchers, data scientists, biomedical engineers, and healthcare professionals, Precision Digital Oncology bridges the gap between cutting-edge research and real-world application, providing a comprehensive, forward-looking roadmap for the future of cancer treatment. Whether you're exploring the impact of AI in cancer care or seeking insights into the future of digital health technologies, this book offers critical knowledge for anyone interested in the next generation of cancer research and therapeutic strategies.
商品描述(中文翻譯)
這本書深入探討了創新技術如何重塑癌症診斷、治療和護理的格局,通過檢視精準醫療、數位健康與腫瘤學中顛覆性科學進展的交集,並專注於分子剖析、人工智慧和數位健康基礎設施的整合,以徹底改變癌症護理。書中包含21個詳細章節,涵蓋一系列前沿主題,包括人工智慧和深度學習在腫瘤影像學中的應用、液體活檢技術在非侵入性癌症檢測中的興起,以及放射基因組學在個性化病人治療中的強大協同效應。它深入探討了多組學整合和系統生物學如何被利用來更好地理解腫瘤生物學、預測疾病進展以及識別新型治療靶點。書中還討論了人工智慧在預測建模和決策支持系統中不斷演變的角色,為臨床醫生提供風險分層和預後分析的先進工具。它探討了將數位技術整合到臨床實踐中的倫理和監管挑戰,並提供了關於癌症護理中公平獲取障礙的全球視角。這本書專為腫瘤科醫生、研究人員、數據科學家、生物醫學工程師和醫療專業人員設計,精準數位腫瘤學彌合了前沿研究與實際應用之間的鴻溝,提供了一個全面且前瞻性的癌症治療未來藍圖。無論您是在探索人工智慧在癌症護理中的影響,還是尋求對數位健康技術未來的見解,這本書都為任何對下一代癌症研究和治療策略感興趣的人提供了關鍵知識。
作者簡介
Wasswa Shafik is an IEEE member and Team Lead at the Dig Connectivity Research Laboratory (DCRLab) in Kampala, Uganda. He holds a PhD in Digital Science (Computer Science) from the School of Digital Science, Universiti Brunei Darussalam. Wasswa also earned a Master's degree in Information Technology Engineering from Yazd University, Iran, and a Bachelor's degree in Information Technology from Ndejje University, Uganda. Wasswa has received specialized training from the National Institutes of Health (NIH), the U.S. Department of Health and Human Services, and the Bloomberg School of Public Health, focusing on Data Quality, Monitoring and Evaluation Fundamentals, and Protecting Human Research Participants. Before his PhD, he worked as a Community Data Officer at Pace-Uganda, a Research Associate at TechnoServe and Mercy Corps, a Research Assistant at PSI-Uganda, a Research Lead at the Socio-economic Data Centre (SEDC-Uganda), and a former Agricultural Managing Director at Asmaah Charity Organisation. His research focuses on developing computationally efficient models for challenges in health, agriculture, and ecology. He specializes in Artificial Intelligence, Computer Vision, Neural Networks, and the Internet of Things, with applications in Smart Agriculture, Digital Health, and Ecological Informatics.
Dr. Jay Kumar Pandey is currently working as an Assistant Professor in the Department of Electrical & Electronics Engineering at Shri Ramswaroop Memorial University, Barabanki (U.P.) India. Dr. Pandey has completed his Ph.D. and has done his M.Tech. with specialization in Power Control (Instrumentation) and also done his MBA from Finance and Marketing. His subjects of interest are related to Artificial Intelligence, Biomedical & Healthcare, Image Processing, Machine Learning and Renewable energy. He has 15 years of teaching and research experience has published more than 30 research papers in National and International journals /conferences & Book Chapters in CRC, NOVA, Taylor & Francis, Springer and IGI Publisher. Dr. Pandey is an editor of books (edited) published by reputed publishers Apple Academy Press, IGI, Elsevier, Wiley-IEEE, NOVA, Bentham Science, IAP, Emerald Publication, Taylor & Francis & Cambridge Scholar. Dr. Pandey is also Editor of Journal of Technology Innovations and Energy United States. Dr. Pandey having reviewer in different conference/Journal/Book Chapters like (The Journal of Supercomputing in Springer Nature, IGI publishing, Journal of Security and Communication Networks Hindawi, Journal of Biomimetics, Biomaterials and Biomedical Engineering (JBBBE) Scientific Net, Switzerland, Advanced Engineering Forum (AEF) Scientific Net, Switzerland)
Haipeng Liu received his Bachelor and Master in Engineering degrees from Zhejiang University, China, in 2012 and 2015, respectively, and Doctor of Philosophy in Medical Sciences from the Chinese University of Hong Kong, in 2018. From 2019 to 2020, he was a research fellow with the Medical Technology Research Center, Anglia Ruskin University. Since 2020, he has been a research fellow with Coventry University, UK. He is the author of over 60 journal articles and 10 conference papers. He has delivered 12 invited talks for international conferences, universities, and research institutes. He is a receiver of two British Heart Foundation Travel Awards, a Director of Studies (Dos) of two PhD students, and an editorial member of six academic journals. He is a reviewer of more than 60 articles from 24 journals, 4 international conferences, and one book proposal. His research interests include biomechanics, physiological measurement, and computational simulation of cardiovascular diseases.
作者簡介(中文翻譯)
Wasswa Shafik 是 IEEE 會員,並擔任烏干達坎帕拉 Dig Connectivity Research Laboratory (DCRLab) 的團隊負責人。他擁有汶萊達魯薩蘭大學數位科學學院的數位科學(計算機科學)博士學位。Wasswa 也在伊朗雅茲德大學獲得資訊科技工程碩士學位,以及在烏干達 Ndejje 大學獲得資訊科技學士學位。Wasswa 曾接受美國國立衛生研究院 (NIH)、美國健康與人類服務部及彭博公共衛生學院的專業訓練,專注於數據質量、監測與評估基礎知識,以及保護人類研究參與者。在攻讀博士學位之前,他曾擔任 Pace-Uganda 的社區數據官、TechnoServe 和 Mercy Corps 的研究助理、PSI-Uganda 的研究助理、社會經濟數據中心 (SEDC-Uganda) 的研究負責人,以及 Asmaah Charity Organisation 的農業總經理。他的研究重點是為健康、農業和生態挑戰開發計算效率高的模型。他專精於人工智慧、計算機視覺、神經網絡和物聯網,並應用於智慧農業、數位健康和生態資訊學。
Jay Kumar Pandey 博士目前在印度巴拉班基的 Shri Ramswaroop Memorial University 電氣與電子工程系擔任助理教授。Pandey 博士已完成博士學位,並在電力控制(儀器)方面獲得 M.Tech. 學位,同時也取得財務與行銷的 MBA 學位。他的研究興趣與人工智慧、生物醫學與健康照護、影像處理、機器學習和可再生能源有關。他擁有 15 年的教學和研究經驗,並在國內外期刊/會議及 CRC、NOVA、Taylor & Francis、Springer 和 IGI 出版社的書籍章節中發表了超過 30 篇研究論文。Pandey 博士是多本由知名出版社 Apple Academy Press、IGI、Elsevier、Wiley-IEEE、NOVA、Bentham Science、IAP、Emerald Publication、Taylor & Francis 和 Cambridge Scholar 出版的書籍的編輯。他也是美國技術創新與能源期刊的編輯。Pandey 博士擔任多個會議/期刊/書籍章節的審稿人,如 Springer Nature 的《超級計算期刊》、IGI 出版的期刊、Hindawi 的《安全與通信網絡期刊》、《生物模仿、生物材料與生物醫學工程期刊》(JBBBE)Scientific Net、瑞士的《先進工程論壇》(AEF)Scientific Net。
劉海鵬於 2012 年和 2015 年分別在中國浙江大學獲得工程學士和碩士學位,並於 2018 年在香港中文大學獲得醫學科學博士學位。2019 年至 2020 年,他在安格利亞魯斯金大學的醫療技術研究中心擔任研究員。自 2020 年以來,他在英國考文垂大學擔任研究員。他是超過 60 篇期刊文章和 10 篇會議論文的作者,並為國際會議、大學和研究機構發表了 12 場受邀演講。他獲得了兩個英國心臟基金會旅行獎,並擔任兩名博士生的研究指導主任,以及六本學術期刊的編輯成員。他是來自 24 本期刊、4 個國際會議和一個書籍提案的超過 60 篇文章的審稿人。他的研究興趣包括生物力學、生理測量和心血管疾病的計算模擬。