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Springer Computational Methods for Precision Oncology - Springer Book 1361

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Description

Precision medicine offers transformative potential for cancer treatment through genomic profiling and personalised therapeutic strategies. This comprehensive volume from Springer explores computational approaches and methods essential for modern oncology practice, addressing the critical challenge of cancer genome heterogeneity and variable drug responses. The book, part of the Advances in Experimental Medicine and Biology series (volume 1361), brings together current research demonstrating how genomic profiling identifies patients with targetable cancer alterations, enabling accelerated development of novel and repurposed treatments. Designed for precision oncologists and healthcare practitioners, the content bridges computational science and clinical application, providing practical frameworks for designing individualised cancer treatment plans. Whether you are refining diagnostic protocols, evaluating therapeutic options, or advancing precision medicine research, this Springer publication equips practitioners with evidence-based methodologies and contemporary insights into overcoming genomic complexity in oncology.

Key Features

Springer's volume 1361 in the Advances in Experimental Medicine and Biology series focuses on computational methods central to precision oncology practice.

Comprehensive coverage of genomic profiling strategies that identify patients with specific, targetable cancer alterations for personalised treatment.

Addresses cancer genome heterogeneity and drug response variability through computational approaches relevant to clinical trial design.

Suitable for precision oncologists, medical practitioners, and researchers developing novel and repurposed therapeutic strategies.

Evidence-based frameworks for designing personalised cancer treatments informed by current clinical studies and genomic data.

Bridges computational science and clinical application for healthcare practitioners specialising in internal medicine and oncology.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 March 2022
Listed Since
22 October 2021

Barcode

No barcode data available

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