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Agentic-TimesFM-AKI: A Dual LLM–Time Series Framework for Predicting Drug-Induced Acute Kidney Injury with Privacy-Preserving Synthetic Data

2026-07-31

Abstract excerpt

<h4>Background</h4> Acute kidney injury (AKI) is a severe complication in intensive care units, frequently exacerbated by synergistic nephrotoxicity from drugs such as Vancomycin and Piperacillin-Tazobactam. Traditional alert systems relying on static thresholds suffer from high false-positive rates and delayed detection. <h4>Methods</h4> We developed Agentic-TimesFM-AKI, a dual-model architecture integrating a...

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Literature Corpus work
b8d6f473-4437-50cc-bf64-fd2b1c2c43ef
DOI
10.64898/2026.07.30.26359271
Open publication

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Agentic-TimesFM-AKI: A Dual LLM–Time Series Framework for Predicting Drug-Induced Acute Kidney Injury with Privacy-Preserving Synthetic DataDOI 10.64898/2026.07.30.26359271
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