2 papers
cs.LG2026
MetaboLLM: a metabolomics-specialized large language model for biochemical knowledge integration and predictive metabolite graph construction
Dohyun Ku, Min Gu Kwak, Francisco J. Pasquel +1
Metabolomics knowledge is distributed across heterogeneous resources and remains difficult to translate into predictive representations. We developed MetaboLLM, a metabolomics-spec…
cs.AI2026
Knowledge Graph Augmented Large Language Models for Disease Prediction
Ruiyu Wang, Tuan Vinh, Ran Xu +5
Electronic health records (EHRs) enable strong clinical prediction, but explanations are often coarse and hard to use for patient-level decisions. We propose a knowledge graph (KG)…