Lucas M. Glass
IQVIA (United States)(US)
Publications by Year
Research Areas
Machine Learning in Healthcare, Computational Drug Discovery Methods, Biomedical Text Mining and Ontologies, Topic Modeling, Machine Learning in Materials Science
Most-Cited Works
- → MolTrans: Molecular Interaction Transformer for drug–target interaction prediction(2020)560 cited
- → DeepPurpose: a deep learning library for drug–target interaction prediction(2020)451 cited
- → SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization(2021)162 cited
- → CASTER: Predicting Drug Interactions with Chemical Substructure Representation(2020)145 cited
- → STAN: spatio-temporal attention network for pandemic prediction using real-world evidence(2020)129 cited
- → SkipGNN: predicting molecular interactions with skip-graph networks(2020)120 cited
- → Statin Safety: An Appraisal from the Adverse Event Reporting System(2006)116 cited
- → SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations(2021)98 cited
- → Characterizing the Clinical Adoption of Medical AI Devices through U.S. Insurance Claims(2023)80 cited
- → Change Matters: Medication Change Prediction with Recurrent Residual Networks(2021)65 cited