Extracting adverse event nature, severity, timelines and resulting interventions from clinical notes of patients receiving CAR-T therapy using large language models.
- DOI
- 10.64898/2026.04.28.26351782
- Published
- 2026 May 5
- Container
- medRxiv : the preprint server for health sciences
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.64898/2026.04.28.26351782,
title = {Extracting adverse event nature, severity, timelines and resulting interventions from clinical notes of patients receiving CAR-T therapy using large language models.},
author = {Guillot J and Miao B and Suresh A and Sushil M and Williams CY and Vashisht R and Oskotsky TT and Sirota M and Butte AJ},
year = {2026},
journal = {medRxiv : the preprint server for health sciences},
doi = {10.64898/2026.04.28.26351782},
url = {https://doi.org/10.64898/2026.04.28.26351782}
}RIS
TY - JOUR TI - Extracting adverse event nature, severity, timelines and resulting interventions from clinical notes of patients receiving CAR-T therapy using large language models. AU - Guillot J AU - Miao B AU - Suresh A AU - Sushil M AU - Williams CY AU - Vashisht R AU - Oskotsky TT AU - Sirota M AU - Butte AJ PY - 2026 JO - medRxiv : the preprint server for health sciences DO - 10.64898/2026.04.28.26351782 UR - https://doi.org/10.64898/2026.04.28.26351782 ER -
APA
J, G., B, M., A, S., M, S., CY, W., R, V., TT, O., M, S., & AJ, B. (2026). Extracting adverse event nature, severity, timelines and resulting interventions from clinical notes of patients receiving CAR-T therapy using large language models.. medRxiv : the preprint server for health sciences. https://doi.org/10.64898/2026.04.28.26351782
Source records
- pubmed · retrieved 2026-09-26T16:45:16.514Z