3 papers
cs.AI2025
Representation learning to advance multi-institutional studies with electronic health record data from US and France
Doudou Zhou, Han Tong, Linshanshan Wang +21
The widespread adoption of electronic health records has created new opportunities for translational clinical research, yet this promise remains constrained by fragmented data acro…
cs.LG2024
Unified Representation of Genomic and Biomedical Concepts through Multi-Task, Multi-Source Contrastive Learning
Hongyi Yuan, Suqi Liu, Kelly Cho +3
We introduce GENomic Encoding REpresentation with Language Model (GENEREL), a framework designed to bridge genetic and biomedical knowledge bases. What sets GENEREL apart is its ab…
stat.ME2024
Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning
Suqi Liu, Tianxi Cai, Xiaoou Li
A large-scale knowledge graph enhances reproducibility in biomedical data discovery by providing a standardized, integrated framework that ensures consistent interpretation across…