Artificial intelligence-guided analysis of the tumor microenvironment predicts response to pembrolizumab in rare tumors.
- DOI
- 10.1136/jitc-2025-014768
- Published
- 2026 Jun 24
- Container
- Journal for immunotherapy of cancer
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1136/jitc-2025-014768,
title = {Artificial intelligence-guided analysis of the tumor microenvironment predicts response to pembrolizumab in rare tumors.},
author = {Derbala MH and Stephen B and Hwang W and Ock CY and Hwang S and Hajjar J and Lee S and Zhou J and Gurses SA and Gouda MA and McGonagle KE and Alshawa A and Castillo L and Zarifa A and Fu S and Piha-Paul SA and Tsimberidou AM and Meric-Bernstam F and Solis Soto LM and Raso MG and Ali S and Naing A},
year = {2026},
journal = {Journal for immunotherapy of cancer},
doi = {10.1136/jitc-2025-014768},
url = {https://doi.org/10.1136/jitc-2025-014768}
}RIS
TY - JOUR TI - Artificial intelligence-guided analysis of the tumor microenvironment predicts response to pembrolizumab in rare tumors. AU - Derbala MH AU - Stephen B AU - Hwang W AU - Ock CY AU - Hwang S AU - Hajjar J AU - Lee S AU - Zhou J AU - Gurses SA AU - Gouda MA AU - McGonagle KE AU - Alshawa A AU - Castillo L AU - Zarifa A AU - Fu S AU - Piha-Paul SA AU - Tsimberidou AM AU - Meric-Bernstam F AU - Solis Soto LM AU - Raso MG AU - Ali S AU - Naing A PY - 2026 JO - Journal for immunotherapy of cancer DO - 10.1136/jitc-2025-014768 UR - https://doi.org/10.1136/jitc-2025-014768 ER -
APA
MH, D., B, S., W, H., CY, O., S, H., J, H., S, L., J, Z., SA, G., MA, G., KE, M., A, A., L, C., A, Z., S, F., SA, P., AM, T., F, M., LM, S. S., MG, R., S, A., & A, N. (2026). Artificial intelligence-guided analysis of the tumor microenvironment predicts response to pembrolizumab in rare tumors.. Journal for immunotherapy of cancer. https://doi.org/10.1136/jitc-2025-014768
Source records
- pubmed · retrieved 2026-09-25T05:48:56.885Z