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Ruhao Liu

2 accepted papers

2026

GDAs-OT: A Prediction Method of Gene-Disease Associations Based on Optimal Transport for Identifying Genes Related to Immune-Related Adverse Events

IJCAI 2026

Immune Checkpoint Inhibitors (ICIs) represent a cornerstone of modern cancer immunotherapy. However, their clinical application is frequently accompanied by immune-related Adverse Events (irAEs) of diverse severity. Predicting Gene-Disease Associations (GDAs) is crucial for identifying the related g

Cited by 0Scholar
2026

Tab-semiSL: Tabular Data-Driven Semi-Supervised Learning to Identify Factors Associated with Immune-Related Adverse Events

IJCAI 2026

Immune Checkpoint Inhibitors (ICIs) have become a major therapeutic strategy in cancer treatment. However, widespread ICIs use can cause mild-to-severe immune-related Adverse Events (irAEs). Identifying factors associated with irAEs is beneficial for assessing the risk of irAEs occurrence during ICI

Cited by 0Scholar