Distinct Tumor-Immune Ecologies in Patients with Lung Cancer Predict Progression and Define a Clinical Biomarker of Therapy Response

Integration of multiplexed imaging, spatial statistics, and machine learning identifies distinct tumor-immune ecologies that differentiate immunotherapy responders from nonresponders, improving the prediction of progression to guide precision therapy. This article is part of a special series: Driving Cancer Discoveries with Computational Research, Data Science, and Machine Learning/AI .