To take full advantage of deep-learning solutions in healthcare, the United States and China should collaborate, not compete.
References
Topol, E. J. Nat. Med. 25, 44–56 (2019).
Liang, H. et al. Nat. Med. 25, 433–438 (2019).
Loyalka, P. et al. Proc. Natl Acad. Sci. USA. 116, 6732–6736 (2019).
Adamson, A. S. & Smith, A. JAMA Dermatol. 154, 1247–1248 (2018).
Yang, Q., Liu, Y., Chen, T. & Tong, Y. ACM T. Intel. Syst. Tec. 10, 12 (2019).
Tarassenko, L. & Topol, E. J. JAMA 320, 2309–2310 (2018).
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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, KF. It takes a planet. Nat Biotechnol 37, 858–861 (2019). https://doi.org/10.1038/s41587-019-0214-z
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DOI: https://doi.org/10.1038/s41587-019-0214-z
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