A transformer-based temporal attention network that integrates longitudinal blood, imaging, and medication data predicts mortality in immunotherapy patients with AUCs around 0.81 to 0.84, slightly beating blood-only models.
Radiomics, tumor volume, and blood biomarkers for early prediction of pseudoprogression in patients with metastatic melanoma treated with immune check - point inhibition
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Multimodal Integration of Longitudinal Noninvasive Diagnostics for Survival Prediction in Immunotherapy Using Deep Learning
A transformer-based temporal attention network that integrates longitudinal blood, imaging, and medication data predicts mortality in immunotherapy patients with AUCs around 0.81 to 0.84, slightly beating blood-only models.