Integrative network modeling approaches to personalized cancer medicine. Academic Article uri icon

Overview

abstract

  • The ability to collect millions of molecular measurements from patients is a now a reality for clinical medicine. This reality has created the challenge of how to integrate these vast amounts of data into models that accurately predict complex pathophysiology and can translate this complexity into clinically actionable outputs. Integrative informatics and data-driven approaches provide a framework for analyzing large-scale datasets and combining them into multiscale models that can be used to determine the key drivers of disease and identify optimal therapies for treating tumors. In this perspective we discuss how an integrative modeling approach is being used to inform individual treatment decisions, highlighting a recent case report that illustrates the challenges and opportunities for personalized oncology.

publication date

  • June 1, 2015

Identity

PubMed Central ID

  • PMC4806849

Scopus Document Identifier

  • 84930705672

Digital Object Identifier (DOI)

  • 10.2217/pme.14.87

PubMed ID

  • 27019658

Additional Document Info

volume

  • 12

issue

  • 3