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Machine learning model accurately identifies tertiary lymphoid structures up to nearly 98%

Please provide your email address to receive an email when new articles are posted on . A machine learning model may aid the detection and classification of tertiary lymphoid structures associated ...
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A novel non-invasive machine learning model for predicting tertiary lymphoid structures and treatment response to neoadjuvant therapy in triple-negative breast cancer: A ...

Retrospective validation of a novel multimodal AI prognostic tool integrating digital pathology and clinical data against real world data and Oncotype DX in a Swiss breast cancer cohort. This is an ...
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A novel risk-scoring model developed based on tertiary lymphoid structure related genes predict the prognosis and immunotherapeutic efficacy in cutaneous melanoma.

Gene modules in association with Kaiso and LC3 regulatory pathways to predict survival and response to therapy. This is an ASCO Meeting Abstract from the 2022 ASCO Annual Meeting I. This abstract does ...