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PreprintAll rights reservedmedRxiv

Human-Guided Agentic AI for End-to-End EHR Research: Sequential Antibody-Drug Conjugate Pathways in Breast Cancer

  • A. Loaiza-Bonilla1
  • C. Colovos
  • D. Kim
  • J. M. Grichnik
  • K. Singh
  • P. Tarantino
  1. 1Meta Platforms, Inc., Menlo Park, California, USA; St. Luke's University Health Network, Bethlehem, Pennsylvania, USA; Massive Bio, Inc., Boca Raton, Florida, U
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Cite

BibTeXRIS
BibTeX
@misc{loaizabonilla2026humanguided,
  title = {{Human-Guided Agentic AI for End-to-End EHR Research: Sequential Antibody-Drug Conjugate Pathways in Breast Cancer}},
  author = {A. Loaiza-Bonilla and C. Colovos and D. Kim and J. M. Grichnik and K. Singh and P. Tarantino},
  howpublished = {medRxiv},
  year = {2026},
  month = oct,
  doi = {10.64898/2026.10.13.26365479},
  url = {https://www.medrxiv.org/content/10.64898/2026.10.13.26365479v1},
}
RIS
TY  - UNPB
TI  - Human-Guided Agentic AI for End-to-End EHR Research: Sequential Antibody-Drug Conjugate Pathways in Breast Cancer
AU  - A. Loaiza-Bonilla
AU  - C. Colovos
AU  - D. Kim
AU  - J. M. Grichnik
AU  - K. Singh
AU  - P. Tarantino
PY  - 2026
DA  - 2026/10/13
PB  - medRxiv
DO  - 10.64898/2026.10.13.26365479
UR  - https://www.medrxiv.org/content/10.64898/2026.10.13.26365479v1
ER  -