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Computational Intelligence in Oncology: Past, Present, and Future

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Computational Intelligence in Oncology

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1016))

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Abstract

Computational Intelligence (CI) methods are being widely used in different fields of studies including medical sciences and oncology research. CI methods are applied in different facets of oncology including tumor classification, early prediction and diagnosis, survival prediction, modeling and simulation of cell growth, therapy optimization, and overall cancer management. This chapter aims to present introductory background about the field of Oncology, computational Oncology, roles of CI in various aspects of oncology research including classification, Prediction, risk analysis, therapy, optimized cancer treatment, management, etc. It also describes the current trends and future of CI in oncology research.

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Acknowledgements

SQ is supported by the DST-INSPIRE fellowship provided by the Department of Science & Technology, Govt. of India.

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Authors and Affiliations

  1. Department of Computer Science, Jamia Millia Islamia, New Delhi, India

    Khalid Raza & Sahar Qazi

  2. Tumor Biology, ICMR-National Institute of Pathology, New Delhi, India

    Ankita Sahu & Saurabh Verma

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  1. Khalid Raza
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  2. Sahar Qazi
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  3. Ankita Sahu
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Correspondence to Khalid Raza .

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  1. Department of Computer Science, Jamia Millia Islamia, New Delhi, India

    Khalid Raza

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Raza, K., Qazi, S., Sahu, A., Verma, S. (2022). Computational Intelligence in Oncology: Past, Present, and Future. In: Raza, K. (eds) Computational Intelligence in Oncology. Studies in Computational Intelligence, vol 1016. Springer, Singapore. https://doi.org/10.1007/978-981-16-9221-5_1

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