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Computational Methods for Precision Oncology

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Computational Methods for Precision Oncology Synopsis

Precision medicine holds great promise for the treatment of cancer and represents a unique opportunity for accelerated development and application of novel and repurposed therapeutic approaches. Current studies and clinical trials demonstrate the benefits of genomic profiling for patients whose cancer is driven by specific, targetable alterations. However, precision oncologists continue to be challenged by the widespread heterogeneity of cancer genomes and drug responses in designing personalized treatments. Chapters provide a comprehensive overview of the computational approaches, methods, and tools that enable precision oncology, as well as related biological concepts. Covered topics include genome sequencing, the architecture of a precision oncology workflow, and introduces cutting-edge research topics in the field of precision oncology. This book is intended for computational biologists, bioinformaticians, biostatisticians and computational pathologists working in precision oncology and related fields, including cancer genomics, systems biology, and immuno-oncology.

About This Edition

ISBN: 9783030918354
Publication date: 2nd March 2022
Author: Alessandro Laganà
Publisher: Springer an imprint of Springer International Publishing
Format: Hardback
Pagination: 336 pages
Series: Advances in Experimental Medicine and Biology
Genres: Medical research
Computational biology / bioinformatics
Clinical and internal medicine