# Transformer-based model for EHR data-derived development for prediction of kidney function trajectories in diabetic kidney disease

Source: [Medical research : nature.com subject feeds](https://www.nature.com/articles/s41598-026-76546-1) · 2026-11-11 · Medicine
Page: https://themorning.science/story/transformer-based-model-for-ehr-data-derived-development-for-prediction-of-kidne-ea3b280906782830
Kind: research · Impact: low

## In brief

- A transformer-based model was developed using electronic health record (EHR) data.
- The model is aimed at predicting kidney function trajectories in diabetic kidney disease.
- The source is a nature.com article, s41598-026-76546-1; no summary was provided in the feed.

## Why it matters

Predicting how kidney function changes over time in diabetic kidney disease could help clinicians anticipate decline. The available sources do not report validation results, so the practical value is not yet established.

## Timeline

- 2026-11-11: Study article listed in nature.com subject feed

## Coverage

- [Transformer-based model for EHR data-derived development for prediction of kidney function trajectories in diabetic kidney disease](https://www.nature.com/articles/s41598-026-76546-1) — Medical research : nature.com subject feeds, 2026-11-11

Tags: diabetic kidney disease, kidney function, transformer models, electronic health records, clinical prediction

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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