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Editorial
. 2022 Jun 1;40(16):1713-1717.
doi: 10.1200/JCO.21.02733. Epub 2022 Mar 4.

More Than Incremental: Harnessing Machine Learning to Predict Breast Cancer Risk

Lars J Grimm  1 , Jennifer K Plichta  2 , E Shelley Hwang  2
Affiliations
Editorial

More Than Incremental: Harnessing Machine Learning to Predict Breast Cancer Risk

Lars J Grimm et al. J Clin Oncol. .
No abstract available

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Conflict of interest statement

Lars J. GrimmHonoraria: Hologic, Medscape Jennifer K. PlichtaResearch Funding: Color Genomics E. Shelley HwangStock and Other Ownership Interests: ClineticHonoraria: MerckConsulting or Advisory Role: AstraZenecaNo other potential conflicts of interest were reported.

Comment on

  • Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model.
    Yala A, Mikhael PG, Strand F, Lin G, Satuluru S, Kim T, Banerjee I, Gichoya J, Trivedi H, Lehman CD, Hughes K, Sheedy DJ, Matthis LM, Karunakaran B, Hegarty KE, Sabino S, Silva TB, Evangelista MC, Caron RF, Souza B, Mauad EC, Patalon T, Handelman-Gotlib S, Guindy M, Barzilay R. Yala A, et al. J Clin Oncol. 2022 Jun 1;40(16):1732-1740. doi: 10.1200/JCO.21.01337. Epub 2021 Nov 12. J Clin Oncol. 2022. PMID: 34767469 Free PMC article.

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