Skip to content

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Review Open access Aug 2026

AI Models for Predicting Acute Kidney Injury (AKI) and Post-AKI Mortality: Systematic Review and Meta-Analysis

Abstract Background Machine learning (ML) models are increasingly used to predict acute kidney injury (AKI), but validation quality and clinical readiness remain uncertain. Objective This systematic review and meta-analysis aimed to summarize discrimination performance and implementation-relevant gaps for AKI occurrenc...

Hui-Yu Xiao, Jing-Jing Liang, Gao-Ming Li et al. · 0 citations
Open access Jul 2026

DFCE-KanT: predicting spatial gene expression from histology images via contrastive learning

Abstract Motivation Spatial transcriptomics (ST) can quantitatively characterize the spatial molecular profile in tissues and yet is costly to be applied at a large scale. One viable, a low-cost alternative would be to directly predict spatial gene expression from routine hematoxylin eosin (H&E) stained WSIs. Yet, the...

Fang Li, Pengyu Wang, Junjie Shen et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.