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Researchers found that AI models analyzing tumor-infiltrating lymphocytes (TILs) can predict breast cancer outcomes as effectively as human pathologists. Across studies involving more than 5,600 patients with triple-negative and HER2-positive breast cancer, higher TIL levels consistently correlated with better outcomes, while AI also identified spatial immune-cell patterns that provided additional prognostic information.

https://www.thelancet.com/journals/lanonc/article/PIIS1470-2045(26)00339-6/abstract
The Lancet Oncology Artificial intelligence-based tumour infiltrating lymphocyte quantification in patients with triple-negative breast cancer: an… Two cTIL models deployed entirely without retraining or modification provided statistically significant prognostic information and improved risk discrimination compared with clinicopathological variables alone in this large, platform-based, independent validation…
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