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← brief for 2026-09-07 · Regeneration & devices

Machine learning for early detection of chronic kidney disease

Paper C Peer reviewed Observational

Key takeaways

Researchers trained a computer program to spot chronic kidney disease early from routine health data. The program was tested on records that already existed, not on patients in a live clinic. So it shows the method can match past diagnoses, not that it helps anyone sooner in real life. The listing gives no accuracy numbers or dataset size.

Who did this work

Patrick O. Akinwumi (Clemson University) · Meihua Qian (Clemson University) · Oyinkansola A. Babatope (Bournemouth University)

Source

Paper · OpenAlex, Kidney disease concept sweep (verified C2778653478) · 2026-09-06
https://doi.org/10.1016/j.bspc.2026.111420