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Utilizing natural language processing (NLP) to identify breast cancer-associated lung metastases from pathology reports to delineate characteristics of this site of recurrence

Crossref DOI link: https://doi.org/10.1007/s10549-026-07956-y

Published Online: 2026-04-02

Published Print: 2026-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

López, José C. Valentín

Ho, Alice

Hughes, Kevin S.

Bardia, Aditya

Vidula, Neelima
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Text and Data Mining valid from 2026-04-02

Version of Record valid from 2026-04-02
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Article History

Received: 21 March 2026

Accepted: 27 March 2026

First Online: 2 April 2026

Declarations

:

: JCVL: None NV: Research funding to institution (MGH): Daehwa, Merck, Radius, Novartis, Pfizer, Stemline Steering committee participation (ended): Stemline Advisory board participation (all ended): AbbVie, OncoSec, Aadi, Gilead, TerSera, Novartis, IDEOlogy Health, Pfizer.

: For this type of study, formal consent is not required. However, institutional review board approval for retrospective data collection in this population is in place.

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