Immune-related adverse event prediction and influential factor identification.

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1. 1Early identification of patients at risk for moderate-to-severe immunotherapy-related adverse events following immune checkpoint inhibitor therapy.2026
2. 2Development of an online prediction tool for immunotherapy-related adverse events in patients with advanced NSCLC based on machine learning and temporal validation2026
3. 3Development of a novel risk stratification model for immune-related adverse events for patients with advanced melanoma and non-small cell lung cancer treated with immune checkpoint inhibitors.2024
4. 4Machine learning approach for prediction of immune-related pneumonitis.2026
5. 5Toxicity risk calculator for personalised prediction of irAEs in patients with solid tumours receiving ICIs, developed based on a clinical dataset and machine learning approaches.2026