A deep learning pathomics platform may help predict response to immunotherapy in lung cancer patients

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...
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Multi-site blinded validation of a deep learning approach for clinical-grade MSI/dMMR detection in colorectal cancer from H&E-stained pathology images.

Association between visceral adipose tissue radiodensity and overall survival among older adults with colorectal carcinoma. Blinded validation results of PPC with confidence intervals (CI) at 95%.
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Real-World and Clinical Trial Validation of a Deep Learning Radiomic Biomarker for PD-(L)1 Immune Checkpoint Inhibitor Response in Advanced Non–Small Cell Lung Cancer

Comparative Analysis of Generative Pre-Trained Transformer Models in Oncogene-Driven Non–Small Cell Lung Cancer: Introducing the Generative Artificial Intelligence Performance Score Retrospective RWD ...