The road to precision oncology

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.

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Figure 1: The knowledge bank approach.


  1. 1

    Gerstung, M. et al. Nat. Genet. 49, 332–340 (2017).

    CAS  Article  Google Scholar 

  2. 2

    Marx, V. Nature 524, 503–505 (2015).

    CAS  Article  Google Scholar 

  3. 3

    Collins, F.S. & Varmus, H. N. Engl. J. Med. 372, 793–795 (2015).

    CAS  Article  Google Scholar 

  4. 4

    The Global Alliance for Genomics and Health. Science 352, 1278–1280 (2016).

Download references

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Correspondence to Andrew V Biankin.

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Biankin, A. The road to precision oncology. Nat Genet 49, 320–321 (2017).

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