Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Cancer Systems Biology: Translational Mathematical Oncology

Cancer Systems Biology: Translational Mathematical Oncology

Salgia, Ravi
Jolly, Mohit Kumar
Kulkarni, Prakash

Hardcover

Medical ReferenceGeneral Mathematics

ISBN10: 0192867636
ISBN13: 9780192867636
Publisher: Oxford University Press
Published: Dec 18 2025
Pages: 480
Weight: 3.47
Height: 1.26 Width: 8.83 Depth: 10.97
Language: English
Over the centuries, civilization has seen considerable advances in healthcare. Cancer is among the most challenging healthcare issues that we face today, but a number of discoveries have led to better care. Despite all the progress and the promise regarding early detection and precision medicine, we are still faced with the nettlesome problem - cancer is a moving target. Even within an individual tumour, deep sequencing analyses now indicate multiple, phenotypically distinct subpopulations, whose representation seems to vary dramatically from one stage to the next as the tumour progresses.

Cancer Systems Biology provides state-of-the-art reviews and thought-provoking ideas in a concise and succinct manner. This insightful textbook is a crosspollination of concepts from multiple disciplines and experimental approaches to study cancer. The chapters provide new ideas and thoughts outlining how a quantitative picture of cancer can provide a deeper understanding of the disease, and how a systems level perspective may hold the key to fully comprehend how cancer arises and progresses.

Written by experts in multiple disciplines, including systems biologists, science researchers, physicists, mathematicians, and clinicians, Cancer Systems Biology provides a comprehensive, up-to-date, treatise devoted to understanding cancer from a systems perspective. Providing new conceptual insights that can aid precision medicine, it will be essential reading for academic researchers in the field, clinicians, graduate students, and scientists with an interest in cancer biology.

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