Artificial Intelligence and Precision Oncology: Bridging Cancer Research and Clinical Decision Support
Dlamini, Zodwa
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商品描述
This book highlights the use of artificial intelligence (AI), big data and precision oncology for medical decision making in cancer screening, diagnosis, prognosis and treatment. Precision oncology has long been thought of as ideal for the management and treatment of cancer. This strategy promises to revolutionize the treatment, control, and prevention of cancer by tailoring tests, treatments and predictions to specific individuals or population groups. In order to accomplish these goals, vast amounts of patient or population group specific data needs to be integrated and analysed to be able to identify key patterns or features which can be used to define or characterize the disease or the response to the disease in these individuals. These patterns or features can be as varied as molecular patterns or features in medical images. This level of data analysis and integration can only be achieved through the use of AI.
The book is divided into three parts starting with a section on the use of artificial intelligence for screening, diagnosis and monitoring in precision oncology. The second part: Artificial intelligence and Omics in precision oncology, highlights the use of AI and epigenetics, metabolomics, microbiomics in precision oncology. The third part covers artificial intelligence in cancer therapy and its clinical applications. It also highlights the use of AI tools for risk prediction, early detection, diagnosis and accurate prognosis.
This book, written by experts in the field from academia and industry, will appeal to cancer researchers, clinical oncologists, pathologists, medical students, academic teaching staff and medical residents interested in cancer research as well as those specialising as clinical oncologists.
商品描述(中文翻譯)
本書強調了人工智慧(AI)、大數據和精準腫瘤學在癌症篩檢、診斷、預後和治療中的醫療決策應用。精準腫瘤學長期以來被認為是癌症管理和治療的理想選擇。這一策略承諾通過為特定個體或群體量身定制測試、治療和預測,徹底改變癌症的治療、控制和預防。為了實現這些目標,需要整合和分析大量特定於患者或群體的數據,以識別可以用來定義或描述這些個體的疾病或對疾病反應的關鍵模式或特徵。這些模式或特徵可以是分子模式或醫學影像中的特徵。這種數據分析和整合的水平只能通過使用AI來實現。
本書分為三個部分,首先介紹人工智慧在精準腫瘤學中的篩檢、診斷和監測的應用。第二部分:精準腫瘤學中的人工智慧與組學,強調了AI在表觀遺傳學、代謝組學和微生物組學中的應用。第三部分涵蓋了人工智慧在癌症治療及其臨床應用中的角色,並強調了AI工具在風險預測、早期檢測、診斷和準確預後中的應用。
本書由來自學術界和業界的專家撰寫,將吸引對癌症研究感興趣的癌症研究者、臨床腫瘤醫生、病理學家、醫學生、學術教職員和醫學住院醫師,以及專注於臨床腫瘤學的專業人士。
作者簡介
Zodwa Dlamini is a Professor of Molecular Oncology and the founding Director and the Executive Head of the Pan African Cancer Research Institute (PACRI) in South Africa. She is the Director of South African Medical Research Council (SAMRC) Precision Oncology Research Unit (PORU). She is the DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention (POCP). She is a member of the American Association for Cancer Research (AACR) Advisory Group on Sub-Saharan Africa. She is a member of the AACR Pathology Resources in Africa Advisory Group. Professor Dlamini is a member of the African Organisation for Research and Training in Cancer (AORTIC) Research Committee Scientific Advisory Board. She is an elected member of the Academy of Science of South Africa. Professor Dlamini is an overseas Fellow of the Royal Society of Medicine (London). She is the Associate Editor for Frontiers in Oncology: Cancer Genetics Section.
作者簡介(中文翻譯)
Zodwa Dlamini 是南非分子腫瘤學教授,也是泛非癌症研究所 (PACRI) 的創始主任及執行負責人。她是南非醫學研究委員會 (SAMRC) 精準腫瘤學研究單位 (PORU) 的主任。她擔任 DSI/NRF SARChI 精準腫瘤學與癌症預防 (POCP) 的講座教授。她是美國癌症研究協會 (AACR) 關於撒哈拉以南非洲的諮詢小組成員。她也是 AACR 非洲病理資源諮詢小組的成員。Dlamini 教授是非洲癌症研究與培訓組織 (AORTIC) 研究委員會科學諮詢委員會的成員。她是南非科學院的當選成員。Dlamini 教授是倫敦皇家醫學會的海外研究員。她是《Frontiers in Oncology: Cancer Genetics Section》的副編輯。