I3LUNG at WCLC2025: Using AI to Predict Immunotherapy Biomarkers

On day 3 of #WCLC2025, Vanja Mišković from Politecnico di Milano presented the study: “An ensemble approach to predict three-class PD-L1 expression from H&E whole-slide images”.

In this video, Vanja explains how the I3LUNG consortium is using routinely collected digital pathology slides from six cancer centers to predict PD-L1 status, a key biomarker for immunotherapy response. By using an ensamble AI model, the team achieves the most accurate predictions and plans to expand and validate the approach with a larger dataset.

Watch the video here!

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