Researchers from the ECOG-ACRIN Cancer Research Group (ECOG-ACRIN) have applied AI-driven processes for detecting tertiary lymphoid structures (TLS) in thousands of digital images of melanoma tumor tissue, significantly enhancing TLS identification and survival predictions for operable stage III/IV patients. The presence of TLS, a key biomarker for better prognosis and improved survival, is not yet a standard part of patients’ pathology reports, and manual detection is labor-intensive and can be variable.
Estimating complex immune cell structures by AI tools for survival prediction in advanced melanoma
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