← brief for 2026-11-03 · Slowing decline

Comparative Evaluation of 11 Machine Learning–Based Risk Prediction Models for Vancomycin-Associated Acute Kidney Injury During Initial Dosing

Article No results yet Peer reviewed

Key takeaways

This study compared 11 computer models to predict kidney injury from the antibiotic vancomycin. It is a published article, but the abstract does not provide specific patient counts or final results. It focuses on how well these tools work, not on a new treatment.

Who did this work

Moeko Iida (Nagoya City University) · Yasuhiro Horita (Nagoya City University) · Masato Noda (Nagoya City University East Medical Center) · Y. Hisada (Nagoya City University West Medical Center) · Masaya Nagamizu (Nagoya City University West Medical Center) · Kaori Tsuzuki (Nagoya City University East Medical Center) · Sakurako Muramatsu (Aichi Gakuin University) · Kazuki Ohashi (Nagoya City University Hospital) · Yuki Nomura (Nagoya City University Hospital) · Minami Asaoka (Nagoya City University) · Tomoyo MIZUNO (Nagoya City University West Medical Center) · Hiroki ASAKURA (Nagoya City University West Medical Center)

Source

Article · OpenAlex, Kidney disease concept sweep (verified C2778653478) · 2026-11-02
https://doi.org/10.1097/ftd.0000000000001537