Computational Methods For Precision Oncology PDF
It is an amazing Medical book written by Alessandro Laganà and published by Springer Nature. This book was released on 01 March 2022 with total pages 336. Read book in PDF, EPUB and Kindle directly from your devices anywhere anytime. Click Download button to get Computational Methods for Precision Oncology book now. This site is like a library, Use search box to get ebook that you want.
- Author : Alessandro Laganà
- Release Date : 01 March 2022
- Publisher : Springer Nature
- Genre : Medical
- Pages : 336
- ISBN 13 : 9783030918361
- Total Download : 387
- File Size : 44,6 Mb
Computational Methods for Precision Oncology PDF Summary
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.