Overview
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 nanotechnology in precision oncology
Focusses on AI’s ability to predict outcomes, decide on and monitor treatment and progression
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Table of contents (16 chapters)
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Front Matter
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Artificial Intelligence for Screening, Diagnosis, Monitoring in Precision Oncology
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Front Matter
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Artificial Intelligence and Omics in Precision Oncology
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Front Matter
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Artificial Intelligence in Cancer Therapy and Clinical Applications
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Front Matter
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Keywords
About this book
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.
Editors and Affiliations
About the editor
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.
Bibliographic Information
Book Title: Artificial Intelligence and Precision Oncology
Book Subtitle: Bridging Cancer Research and Clinical Decision Support
Editors: Zodwa Dlamini
DOI: https://doi.org/10.1007/978-3-031-21506-3
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-21505-6Published: 22 January 2023
Softcover ISBN: 978-3-031-21508-7Published: 22 January 2024
eBook ISBN: 978-3-031-21506-3Published: 21 January 2023
Edition Number: 1
Number of Pages: XIV, 315
Number of Illustrations: 64 illustrations in colour
Topics: Cancer Research, Oncology, Cancer Research, Cancer Research, Cancer Research