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Titlebook: Artificial Intelligence and Precision Oncology; Bridging Cancer Rese Zodwa Dlamini Book 2023 The Editor(s) (if applicable) and The Author(s

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發(fā)表于 2025-3-21 19:34:35 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence and Precision Oncology
期刊簡(jiǎn)稱Bridging Cancer Rese
影響因子2023Zodwa Dlamini
視頻videohttp://file.papertrans.cn/163/162265/162265.mp4
發(fā)行地址Discusses AI and precision oncology in individualized screening, diagnosis, therapy and monitoring of cancer patients.Highlights the use of AI in radiomics, microbiomics, metabolomics and nanotechnolo
圖書封面Titlebook: Artificial Intelligence and Precision Oncology; Bridging Cancer Rese Zodwa Dlamini Book 2023 The Editor(s) (if applicable) and The Author(s
影響因子.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 epi
Pindex Book 2023
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發(fā)表于 2025-3-21 21:52:22 | 只看該作者
978-3-031-21508-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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http://image.papertrans.cn/b/image/162265.jpg
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https://doi.org/10.1007/3-540-29873-8oring to an individual patient or group of patients would vastly decrease the burden of cancer while ensuring higher rates of patient survival and treatments with less side effects and more success in controlling or eliminating the disease. Precision oncology requires that as much information regard
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發(fā)表于 2025-3-22 20:29:43 | 只看該作者
https://doi.org/10.1007/3-540-29873-8urrent challenges in cancer treatment include the shortage of expertise, delay in diagnosis, inaccurate quantitative staging and variable treatment response. An improvement in the understanding of the pathogenesis of cancer, tumour microenvironment and metastatic pathways has led to an increase in t
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發(fā)表于 2025-3-23 04:06:34 | 只看該作者
https://doi.org/10.1007/3-540-29873-8 prognosis, and treatment. Personalized medicine requires key features to be extracted from large data sets, normally using artificial intelligence (AI). Artificial intelligence can also be used to perform digital pathology and to identify key features in cytology, hematology, and histology based on
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發(fā)表于 2025-3-23 08:39:15 | 只看該作者
https://doi.org/10.1007/3-540-29873-8iptome and proteomic profiles that are unique or more common in cancer. However, it has become obvious that for complex diseases like cancer, it is important and incredibly useful to examine the genetic changes that occur to alter gene expression that do not rely on changes to the genetic sequence.
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