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ARTIFICIAL INTELLIGENCE

A platform for continuous learning in oncology

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Institutional clinical data repositories provide a depth and consistency of data elements that is difficult to match even with data pooled from diverse sources. A study now demonstrates how real-world data and clinical encounters can be captured in an integrated ‘data story’ to enable continuous learning and hypothesis generation in oncology.

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Fig. 1: Integrated data capture for continuous learning in oncology.

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Correspondence to Joseph O. Deasy.

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The authors declare no competing interests.

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Deasy, J.O., Stetson, P.D. A platform for continuous learning in oncology. Nat Cancer 2, 675–676 (2021). https://doi.org/10.1038/s43018-021-00239-z

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