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AI Outperforms Pathologists in Melanoma Scoring Study

9/30/2025

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Summary

Story summary

Thazin Nwe Aung, PhD (Yale), led a JAMA Network Open study on AI-based TIL scoring in melanoma, outperforming pathologists.
The AI method achieved intraclass correlation coefficient (ICC) above 0.90 and hazard ratio (HR) 0.45, showing improved reproducibility and prognosis.
Data and the algorithm are released for external testing, with plans to develop multimodal biomarkers to predict treatment resistance.

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Story summary

Thazin Nwe Aung, PhD (Yale), led a JAMA Network Open study on AI-based TIL scoring in melanoma, outperforming pathologists.
The AI method achieved intraclass correlation coefficient (ICC) above 0.90 and hazard ratio (HR) 0.45, showing improved reproducibility and prognosis.
Data and the algorithm are released for external testing, with plans to develop multimodal biomarkers to predict treatment resistance.