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PreprintAll rights reservedbioRxiv

A Visually Interpretable Histopathology-Based Immune Model Predicts T-effector Biology and Response to Immune checkpoint inhibition in Clear Cell Renal Cell Carcinoma Clinical Trial and Contemporary Real-World Datasets

3 more authors
  1. 1UT Sothwestern Medical Center

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BibTeX
@misc{perny2026visually,
  title = {{A Visually Interpretable Histopathology-Based Immune Model Predicts T-effector Biology and Response to Immune checkpoint inhibition in Clear Cell Renal Cell Carcinoma Clinical Trial and Contemporary Real-World Datasets}},
  author = {A. Perny and V. Jarmale and J. Jasti and H. Zhong and A. L. Christie and J. Miyata and A. W. Nielsen and P. Kontoyiannis and D. Rakheja and Z. Modrusan and M. Huseni and W. Kadel and J. Brugarolas and P. Kapur and S. Rajaram},
  howpublished = {bioRxiv},
  year = {2026},
  month = jun,
  doi = {10.64898/2026.06.21.733614},
  url = {https://www.biorxiv.org/content/10.64898/2026.06.21.733614v2},
}
RIS
TY  - UNPB
TI  - A Visually Interpretable Histopathology-Based Immune Model Predicts T-effector Biology and Response to Immune checkpoint inhibition in Clear Cell Renal Cell Carcinoma Clinical Trial and Contemporary Real-World Datasets
AU  - A. Perny
AU  - V. Jarmale
AU  - J. Jasti
AU  - H. Zhong
AU  - A. L. Christie
AU  - J. Miyata
AU  - A. W. Nielsen
AU  - P. Kontoyiannis
AU  - D. Rakheja
AU  - Z. Modrusan
AU  - M. Huseni
AU  - W. Kadel
AU  - J. Brugarolas
AU  - P. Kapur
AU  - S. Rajaram
PY  - 2026
DA  - 2026/06/21
PB  - bioRxiv
DO  - 10.64898/2026.06.21.733614
UR  - https://www.biorxiv.org/content/10.64898/2026.06.21.733614v2
ER  -