139 citations · 275 across the 9 of their papers we have counts for
10 papers
Assay-Aware BindingDB: Curating Experimental Context for Binding Affinity Prediction
Ming-Hsiu Wu, Xuejiao Shirley Guo, Bingsong Zeng +5
Protein--ligand binding affinity prediction is fundamental to computational drug discovery, yet modern AI-driven models are limited by pervasive heterogeneity in their training dat…
Systematic Design and Evaluation of Social Determinants of Health Ontology (SDoHO)
Yifang Dang, Fang Li, Xinyue Hu +11
Social determinants of health (SDoH) have a significant impact on health outcomes and well-being. Addressing SDoH is the key to reducing healthcare inequalities and transforming a…
Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing
Yi Nian, Xinyue Hu, Rui Zhang +5
To date, there are no effective treatments for most neurodegenerative diseases. Knowledge graphs can provide comprehensive and semantic representation for heterogeneous data, and h…
Knowledge Graph-based Neurodegenerative Diseases and Diet Relationship Discovery
Yi Nian, Jingcheng Du, Larry Bu +4
To date, there are no effective treatments for most neurodegenerative diseases. However, certain foods may be associated with these diseases and bring an opportunity to prevent or…
Semantic based model of Conceptual Work Products for formal verification of complex interactive systems
Mohcine Madkour, Keith Butler, Eric Mercer +2
Many clinical workflows depend on interactive computer systems for highly technical, conceptual work products, such as diagnoses, treatment plans, care coordination, and case manag…
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
Laila Rasmy, Yang Xiang, Ziqian Xie +2
Deep learning (DL) based predictive models from electronic health records (EHR) deliver impressive performance in many clinical tasks. Large training cohorts, however, are often re…