Overview
- Covers exclusive applications of computational intelligence
- Presents cancer recurrence prediction, survival prediction, and detection of malignant or premalignant lesions
- Includes fundamental concepts of computational oncology, translational health care, and gene expression analysis
Part of the book series: Studies in Computational Intelligence (SCI, volume 1016)
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About this book
This book encapsulates recent applications of CI methods in the field of computational oncology, especially cancer diagnosis, prognosis, and its optimized therapeutics.
The cancer has been known as a heterogeneous disease categorized in several different subtypes. According to WHO’s recent report, cancer is a leading cause of death worldwide, accounting for over 10 million deaths in the year 2020. Therefore, its early diagnosis, prognosis, and classification to a subtype have become necessary as it facilitates the subsequent clinical management and therapeutics plan. Computational intelligence (CI) methods, including artificial neural networks (ANNs), fuzzy logic, evolutionary computations, various machine learning and deep learning, and nature-inspired algorithms, have been widely utilized in various aspects of oncology research, viz. diagnosis, prognosis, therapeutics, and optimized clinical management.
Appreciable progress has been made toward the understanding the hallmarks of cancer development, progression, and its effective therapeutics. However, notwithstanding the extrinsic and intrinsic factors which lead to drastic increment in incidence cases, the detection, diagnosis, prognosis, and therapeutics remain an apex challenge for the medical fraternity. With the advent in CI-based approaches, including nature-inspired techniques, and availability of clinical data from various high-throughput experiments, medical consultants, researchers, and oncologists have seen a hope to devise and employ CI in various aspects of oncology. The main aim of the book is to occupy state-of-the-art applications of CI methods which have been derived from core computer sciences to back medical oncology. This edited book covers artificial neural networks, fuzzy logic and fuzzy inference systems, evolutionary algorithms, various nature-inspired algorithms, and hybrid intelligent systems which are widely appreciated for the diagnosis, prognosis, and optimization of therapeutics of various cancers. Besides, this book also covers multi-omics exploration, gene expression analysis, gene signature identification of cancers, genomic characterization of tumors, anti-cancer drug design and discovery, drug response prediction by means of CI, and applications of IoT, IoMT, and blockchain technology in cancer research.
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Keywords
Table of contents (25 chapters)
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Preliminaries
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Cancer Detection, Diagnosis, Survival, and Recurrence Prediction
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Predicting Cancer Biomarkers, Therapeutic Targets, Drug Response, and Drug Design, Discovery, and Development
Editors and Affiliations
About the editor
Dr. Khalid Raza is Assistant Professor at the Department of Computer Science, Jamia Millia Islamia (Central University), New Delhi. Dr. Raza has also served as “ICCR Chair Professor” at Faculty of Computer & Information Sciences, Ain Shams University, Cairo, Egypt. He has over 10 years of teaching & research experience in the field of computational intelligence and its various applications. He has contributed over 80 research articles in reputed journals and edited books, one single-authored book. Dr. Raza has reviewed over 100 research articles for reputed journals/conferences in the last 5 years. He has also edited 3 books with different publishers including Springer, Elsevier, and CRC Press. He is Academic Editor of PeerJ Computer Science. Dr. Raza has delivered several keynote addresses, invited talks, public lectures, and seminars in national and international conferences and workshops and chaired technical sessions in various national and international conferences. He has alsoexecuted two Indian governments funded research projects. Dr. Raza is Member of MIR Lab (USA), CSI (India), and SCRS (India). His research interest lies in computational intelligence and its applications in bioinformatics, viro-informatics, and health informatics.
Bibliographic Information
Book Title: Computational Intelligence in Oncology
Book Subtitle: Applications in Diagnosis, Prognosis and Therapeutics of Cancers
Editors: Khalid Raza
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-981-16-9221-5
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-16-9220-8Published: 02 March 2022
Softcover ISBN: 978-981-16-9223-9Published: 03 March 2023
eBook ISBN: 978-981-16-9221-5Published: 01 March 2022
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XX, 467
Number of Illustrations: 24 b/w illustrations, 70 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Oncology, Behavioral Therapy