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June 1, 2024Journal of Clinical Oncology

Immunotherapy toxicity prediction in patients with melanoma using machine learning algorithms.

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Authors

LSLakshya SharmaEMEsha MohanVBVaishnavi Balaji

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Cite This Study

Sharma et al. (2024) studied this question.

synapsesocial.com/papers/68e673edb6db6435875fe119https://doi.org/10.1200/jco.2024.42.16_suppl.e21567
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Also Consider

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

  1. 1Immune-related adverse event prediction and influential factor identification.2024
  2. 2Toxicity 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
  3. 3Artificial intelligence and machine learning for predicting immune checkpoint inhibitor–associated cardiotoxicity: A systematic review and narrative synthesis.2026
  4. 4Predicting immune checkpoint inhibitor cardiotoxicity using machine learning: a systematic review of model performance and methodological quality2026
  5. 5Early identification of patients at risk for moderate-to-severe immunotherapy-related adverse events following immune checkpoint inhibitor therapy.2026