TRIO-AI: Hybrid temporal graph, ODE, and VAE modeling for high-resolution cellular trajectory inference in liver injury

Abstract excerpt

Resolving dynamic cellular transitions at single-cell resolution is essential for understanding complex biological processes in development, disease, and regeneration. However, existing trajectory inference methods struggle to capture heterogeneous temporal dynamics, particularly for rare or transitional cell populations critical to injury and repair responses. Here, we present TRIO-AI, a hybrid computational fram...

Topics

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• Cancer Cells and Metastasis
• Cell Image Analysis Techniques
• Single-cell and spatial transcriptomics

Identifiers and source

Literature Corpus work

145728ed-25a5-5dec-8046-76c63a277c68

DOI

10.64898/2025.12.17.694956