Papers
1–3 of 3Research Paper·Jan 27, 2026
SynCABEL: Synthetic Contextualized Augmentation for Biomedical Entity Linking
We present SynCABEL (Synthetic Contextualized Augmentation for Biomedical Entity Linking), a framework that addresses a central bottleneck in supervised biomedical entity linking (BEL): the scarcity o...
9.0 viability
Research Paper·Mar 12, 2026
Large Language Models for Biomedical Article Classification
This work presents a systematic and in-depth investigation of the utility of large language models as text classifiers for biomedical article classification. The study uses several small and mid-size ...
5.0 viability
Research Paper·Mar 11, 2026
Relaxed Efficient Acquisition of Context and Temporal Features
In many biomedical applications, measurements are not freely available at inference time: each laboratory test, imaging modality, or assessment incurs financial cost, time burden, or patient risk. Lon...
4.0 viability