# Development of an explainable machine-learning-based predictive model for cisplatin-induced nephrotoxicity using real-world data

Source: [Medical research : nature.com subject feeds](https://www.nature.com/articles/s41598-026-80469-2) · 2026-11-11 · Medicine
Page: https://themorning.science/story/development-of-an-explainable-machine-learning-based-predictive-model-for-cispla-3a13366598e3868c
Kind: research · Impact: low

## In 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.

## Timeline

- 2026-11-11: Study listed in nature.com subject feeds

## Coverage

- [Development of an explainable machine-learning-based predictive model for cisplatin-induced nephrotoxicity using real-world data](https://www.nature.com/articles/s41598-026-80469-2) — Medical research : nature.com subject feeds, 2026-11-11

Tags: cisplatin, nephrotoxicity, machine learning, explainable ai, drug safety

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Brief generated by AI (claude-haiku-5-5) from the reporting listed under Coverage. Headlines belong to their publishers. The Morning Science – https://themorning.science