It takes a planet

To take full advantage of deep-learning solutions in healthcare, the United States and China should collaborate, not compete.

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  1. 1.

    Topol, E. J. Nat. Med. 25, 44–56 (2019).

  2. 2.

    Liang, H. et al. Nat. Med. 25, 433–438 (2019).

  3. 3.

    Loyalka, P. et al. Proc. Natl Acad. Sci. USA. 116, 6732–6736 (2019).

  4. 4.

    Adamson, A. S. & Smith, A. JAMA Dermatol. 154, 1247–1248 (2018).

  5. 5.

    Yang, Q., Liu, Y., Chen, T. & Tong, Y. ACM T. Intel. Syst. Tec. 10, 12 (2019).

  6. 6.

    Tarassenko, L. & Topol, E. J. JAMA 320, 2309–2310 (2018).

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Correspondence to Eric Topol.

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Competing interests

E.T. was previously an advisor to Verily Life Sciences and Voxel Cloud, but has resigned from those positions.

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Topol, E., Lee, K. It takes a planet. Nat Biotechnol 37, 858–861 (2019).

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