Extracting adverse event nature, severity, timelines and resulting interventions from clinical notes of patients receiving CAR-T therapy using large language models.

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Bibliographic Details
Title: Extracting adverse event nature, severity, timelines and resulting interventions from clinical notes of patients receiving CAR-T therapy using large language models.
Authors: Guillot J; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.; Gilead Sciences Inc, Clinical Data Science - Real World Evidence, Foster City, CA, USA., Miao B; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.; Quality Health, Inc., San Francisco, CA, USA., Suresh A; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA., Sushil M; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA., Williams CY; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.; Quality Health, Inc., San Francisco, CA, USA., Vashisht R; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA., Oskotsky TT; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA., Sirota M; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA., Butte AJ; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2026 May 05. Date of Electronic Publication: 2026 May 05.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
DOI:10.64898/2026.04.28.26351782