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World Congress of Nephrology 2026

Transparent AI-Based Early Warning for Acute Kidney Injury: Multi-Centre Validation with a 24-Hour Actionable Horizon

A WCN poster listing and published abstract on transparent AKI early warning with a 24-hour actionable horizon.

Date
March 2026
Location
Yokohama, Japan
Format
Listed conference poster
Back to archiveRelated research

Session details

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Venue
World Congress of Nephrology
Session
Artificial Intelligence and Machine Learning 2 · P108
Presenter
Abdulla Hourani (listed presenter)
Hourani's role
First author; listed poster presenter
Materials
No public assets

The organiser's masterlist verifies the scheduled presenter and slot. This record is labelled as a listing rather than independent proof of on-site delivery.

Official WCN poster programme · page 7 ↗

Published conference abstract ↗

Summary

What the session covered and why it mattered.

A compact detail template for conference presentations without public long-form notes.

The official WCN programme lists Abdulla Hourani for abstract 8052, board P108, on 28 March 2026. The related Kidney International Reports abstract is authored by Abdulla Hourani, Zuzanna Jakubowska and Jolanta Małyszko and describes multicentre validation of transparent AKI early warning.

Shares the multicentre kidney-injury forecasting programme with the nephrology community.

Session context

Event
World Congress of Nephrology 2026
Date
March 2026
Location
Yokohama, Japan
Format
Listed conference poster

Outcome

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Record

Conference presentation

Presented as part of the conference record. Supporting material can be attached later without changing the public URL.

Takeaway

Shares the multicentre kidney-injury forecasting programme with the nephrology community.

Topic map

nephrologyacute kidney injuryearly warningposter

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