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.
Table of contents (16 chapters)
Front Matter
Pages i-xiv
The Application of AI in Precision Oncology: Tailoring Diagnosis, Treatment, and the Monitoring of Disease Progression to the Patient
Zodwa Dlamini, Rodney Hull
Pages 1-25
Artificial Intelligence for Screening, Diagnosis, Monitoring in Precision Oncology
Front Matter
Pages 27-27
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Application of AI in Novel Biomarkers Detection that Induces Drug Resistance, Enhance Treatment Regimens, and Advancing Precision Oncology
Rahaba Marima, Nompumelelo Mtshali, Kgomotso Mathabe, Afra Basera, Mahlori Mkhabele, Meshack Bida et al.
Pages 29-48
Use of Artificial Intelligence in Implementing Mainstream Precision Medicine to Improve Traditional Symptom-driven Practice of Medicine: Allowing Early Interventions and Tailoring better-personalised Cancer Treatments
Thifhelimbilu Luvhengo, Thulo Molefi, Demetra Demetriou, Rodney Hull, Zodwa Dlamini
Pages 49-72
AI as a Novel Approach for Exploring ccfNAs in Personalized Clinical Diagnosis and Prognosis: Providing Insight into the Decision-Making in Precision Oncology
Lesetja Motadi, Mzubanzi Mabongo, Demetra Demetriou, Precious Mathebela, Zodwa Dlamini
Pages 73-91
AI-Enhanced Digital Pathology and Radiogenomics in Precision Oncology
Demetra Demetriou, Rodney Hull, Mmamoletla Kgoebane-Maseko, Zarina Lockhat, Zodwa Dlamini
Pages 93-113
Artificial Intelligence and Omics in Precision Oncology
Front Matter
Pages 115-115
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Epigenetics Analysis Using Artificial Intelligence in the Era of Precision Oncology
Rodney Hull, Serwalo Ramagaga, Nomsa Nkosi, Rahaba Marina, Rosemary I. Kabahuma, Zodwa Dlamini
Pages 117-137
Association of Metabolomics with AI in Precision Oncology: Emerging Perspectives for More Effective Cancer Care
Langanani Mbodi, Precious Mathebela, Zodwa Dlamini
Pages 139-156
Artificial Intelligence Application to Microbiomics Data for Improved Clinical Decision Making in Precision Oncology
Sikhumbuzo Z. Mbatha, Zilungile Lynette Mkhize-Kwitshana, Thanyani Victor Mulaudzi, Rodney Hull, Zodwa Dlamini
Pages 157-177
Artificial Intelligence in Cancer Therapy and Clinical Applications
Front Matter
Pages 179-179
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AI and Nanomedicine in Realizing the Goal of Precision Medicine: Tailoring the Best Treatment for Personalized Cancer Treatment
Amanda Skepu, Boitumelo Phakathi, Malose Makgoka, Zukile Mbita, Botle Precious Damane, Demetra Demetriou et al.
Pages 181-194
Artificial Intelligence-Based Medical Devices Revolution in Cancer Screening: Impact into Clinical Practice
Ahmed Bhayat, Rodney Hull, Nkhensani Chauke-Malinga, Zodwa Dlamini
Pages 195-215
Intelligent Drug Design and Use for Cancer Treatment: The Roles of AI and Precision Oncology in Targeting Patient-Specific Splicing Profiles
Rodney Hull, Mosebo A. Manabile, Zodwa Dlamini
Pages 217-238
Applying Artificial Intelligence Prediction Tools for Advancing Precision Oncology in Immunotherapy: Future Perspectives in Personalized Care
Botle Precious Damane, Zilungile Lynette Mkhize-Kwitshana, Mahlatse Cordelia Kgokolo, Thifhelimbilu Luvhengo, Zodwa Dlamini
Pages 239-258
Employing AI-Powered Decision Support Systems in Recommending the Most Effective Therapeutic Approaches for Individual Cancer Patients: Maximising Therapeutic Efficacy
Thulo Molefi, Rahaba Marima, Demetra Demetriou, Afra Basera, Zodwa Dlamini
Pages 259-275
AI-Pathway Companion in Clinical Decision Support: Enabling Personalized and Standardized Care Along Care Pathways in Oncology
Meshack Bida, Mpho Kgomo, Bahoueli Gaudji, Demetra Demetriou, Zodwa Dlamini
Pages 277-291
AI Tools Offering Cancer Clinical Applications for Risk Predictor, Early Detection, Diagnosis, and Accurate Prognosis: Perspectives in Personalised Care
Richard Khanyile, Rahaba Marima, Mandisa Mbeje, Shingai Mutambirwa, Daniel Montwedi, Zodwa Dlamini
Pages 293-312
Conclusion and Insights into the Future of AI in Precision Oncology
Zodwa Dlamini, Demetra Demetriou, Thulo Molefi
Pages 313-315
