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Artificial intelligence and precision oncology : bridging cancer research and clinical decision support / Zodwa Dlamini, editor.

Dlamini, Zodwa, editor.
2023
RC270.8
Available Online
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Title
Artificial intelligence and precision oncology : bridging cancer research and clinical decision support / Zodwa Dlamini, editor.
ISBN
9783031215063 (electronic bk.)
3031215060 (electronic bk.)
9783031215056
3031215052
DOI
https://doi.org/10.1007/978-3-031-21506-3
Published
Cham : Springer, 2023.
Language
English
Description
1 online resource (295 pages) : illustrations (colour).
Item Number
10.1007/978-3-031-21506-3 doi
Call Number
RC270.8
Dewey Decimal Classification
616.99406
Summary
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.
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Description based on print version record.
Added Author
Dlamini, Zodwa, editor.
Available in Other Form
Artificial intelligence and precision oncology.
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Chapter 1. Introduction: The Application of AI in Precision Oncology: Tailoring Diagnosis, Treatment, and the Monitoring of Disease Progression to the Patient
Part I. Artificial Intelligence for Screening, Diagnosis, Monitoring in Precision Oncology
Chapter 2. Application of AI in Novel Biomarkers Detection that Induce Drug Resistance, Enhance Treatment Regimens and Advancing Precision Oncology
Chapter 3. Use of Artificial Intelligence in Implementing Mainstream Precision Medicine to Improve Traditional Symptom-driven Practice of Medicine: Allowing Early Interventions and Tailoring better-personalized Cancer Treatments
Chapter 4. AI as a Novel Approach for Exploring ccfNAs in Personalized Clinical Diagnosis and Prognosis: Providing Insight into the Decision-Making in Precision Oncology
Chapter 5. AI-Enhanced Digital Pathology and Radiogenomics in Precision Oncology
Part II. Artificial Intelligence and Omics in Precision Oncology
Chapter 6. Epigenetics Analysis Using Artificial Intelligence in the Era of Precision Oncology
Chapter 7. Association of Metabolomics with AI in Precision Oncology: Emerging Perspectives for More Effective Cancer Care
Chapter 8. Artificial Intelligence Application to Microbiomics Data for Improved Clinical Decision Making in Precision Oncology
Part III. Artificial Intelligence in Cancer Therapy and the Clinical Applications
Chapter 9. AI and Nanotechnology in Realizing the Goal of Precision Medicine: Tailoring the Best Treatment for Personalized Cancer Treatment
Chapter 10. Artificial Intelligence-Based Medical Devices Revolution in Cancer Screening: Impact into Clinical Practice
Chapter 11. Intelligent Drug Design and Use for Cancer Treatment: The Roles of AI and Precision Oncology in Targeting Patient-Specific Splicing Profiles
Chapter 12. Applying Artificial Intelligence Prediction Tools for Advancing Precision Oncology in Immunotherapy: Future Perspectives in Personalized Care
Chapter 13. Employing AI-Powered Decision Support Systems in Recommending the Most Effective Therapeutic Approaches for Individual Cancer Patients: Maximizing Therapeutic Efficacy
Chapter 14. AI-Pathway Companion in Clinical Decision Support: Enabling Personalized and Standardized Care Along Care Pathways in Oncology
Chapter 15. AI Tools Offering Cancer Clinical Applications for Risk Predictor, Early Detection, Diagnosis, and Accurate Prognosis: Perspectives in Personalised Care
Chapter 16. Conclusion and Insights into the Future of AI in Precision Oncology.

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