Research
Development of an explainable machine-learning-based predictive model for cisplatin-induced nephrotoxicity using real-world data
Nature ·
The Brief
- Researchers developed an explainable machine-learning model to predict cisplatin-induced nephrotoxicity (kidney toxicity).
- The model was built using real-world data, according to the study title.
- The study is published in Scientific Reports (nature.com article s41598-026-80469-2).
Why it matters
Cisplatin is a widely used chemotherapy drug whose kidney toxicity is a common dose-limiting risk; a predictive model that is explainable could help clinicians anticipate which patients are at higher risk.
Who’s affected
- oncologists and clinical pharmacists
- clinical data scientists and researchers in drug toxicity
- #cisplatin
- #nephrotoxicity
- #machine learning
- #explainable ai
- #drug safety