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10.1016/S0140-6736(20)31022-9 Summary Keywords COVID-19, liver injury, machine learning, random forest, extra trees, SHAP analysis Citation Xiong Y, Cai X, Lai X, Wang Y, Xin H, Song W, Lv F, Guo X, Yang G and Wu Y (2025) Real-world data-driven early warning system for risk-stratified liver injury in hospitalized COVID-19 patientsMachine learning models for clinical decision support

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Ratiometric image analysis was conducted using a Python script (available from The background was subtracted for each channel and the ROIs (=transfected cells) were determined by thresholding or with the Cellpose 40 algorithm in the channel of the FP

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