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The ultimate goal of precision medicine is to use population-based molecular, clinical and other data to make individually tailored clinical decisions for patients, although the path to
achieving this goal is not entirely clear. A new study shows how knowledge banks of patient data can be used to make individual treatment decisions in acute myeloid leukemia. Access through
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calculated during checkout ADDITIONAL ACCESS OPTIONS: * Log in * Learn about institutional subscriptions * Read our FAQs * Contact customer support REFERENCES * Gerstung, M. et al. _Nat.
Genet._ 49, 332–340 (2017). Article CAS Google Scholar * Marx, V. _Nature_ 524, 503–505 (2015). Article CAS Google Scholar * Collins, F.S. & Varmus, H. _N. Engl. J. Med._ 372,
793–795 (2015). Article CAS Google Scholar * The Global Alliance for Genomics and Health. _Science_ 352, 1278–1280 (2016). Download references AUTHOR INFORMATION AUTHORS AND AFFILIATIONS
* Andrew V. Biankin is at the Wolfson Wohl Cancer Research Centre, University of Glasgow, Glasgow, UK., Andrew V Biankin Authors * Andrew V Biankin View author publications You can also
search for this author inPubMed Google Scholar CORRESPONDING AUTHOR Correspondence to Andrew V Biankin. ETHICS DECLARATIONS COMPETING INTERESTS The author declares no competing financial
interests. RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Biankin, A. The road to precision oncology. _Nat Genet_ 49, 320–321 (2017).
https://doi.org/10.1038/ng.3796 Download citation * Published: 24 February 2017 * Issue Date: March 2017 * DOI: https://doi.org/10.1038/ng.3796 SHARE THIS ARTICLE Anyone you share the
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