Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks. - Kezi Yu; Yunlong Wang 001; Yong Cai 001; Cao Xiao; Emily Zhao; Lucas Glass; Jimeng Sun 001 (CoRR, 2019)

Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model. - Fan Zhang; Tong Wu 001; Yunlong Wang 001; Yong Cai 001; Cao Xiao; Emily Zhao; Lucas Glass; Jimeng Sun 001 (CoRR, 2019)

Optimizing clinical trials recruitment via deep learning. - Jelena Gligorijevic; Djordje Gligorijevic; Martin Pavlovski; Elizabeth Milkovits; Lucas Glass; Kevin Grier; Praveen Vankireddy; Zoran Obradovic (J. Am. Medical Informatics Assoc., 2019)

Time-to-event estimation by re-defining time. - Xi Hang Cao; Chao Han 003; Lucas M. Glass; Allen Kindman; Zoran Obradovic (J. Biomed. Informatics, 2019)

Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment. - Siddharth Biswal; Cao Xiao; Lucas M. Glass; Elizabeth Milkovits; Jimeng Sun 001 (AAAI, 2020)

CONAN: Complementary Pattern Augmentation for Rare Disease Detection. - Limeng Cui; Siddharth Biswal; Lucas M. Glass; Greg Lever; Jimeng Sun 001; Cao Xiao (AAAI, 2020)

CASTER: Predicting Drug Interactions with Chemical Substructure Representation. - Kexin Huang; Cao Xiao; Trong Nghia Hoang; Lucas Glass; Jimeng Sun 001 (AAAI, 2020)

α-MOP: Molecule optimization with α-divergence. - Tianfan Fu; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (BIBM, 2020)

COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching. - Junyi Gao; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (KDD, 2020)

Clinical Report Auto-completion. - Siddharth Biswal; Cao Xiao; Lucas Glass; M. Brandon Westover; Jimeng Sun 001 (WWW, 2020)

StageNet: Stage-Aware Neural Networks for Health Risk Prediction. - Junyi Gao; Cao Xiao; Yasha Wang; Wen Tang; Lucas M. Glass; Jimeng Sun 001 (WWW, 2020)

Patient-Trial Matching with Deep Embedding and Entailment Prediction. - Xingyao Zhang; Cao Xiao; Lucas Glass; Jimeng Sun 001 (WWW, 2020)

Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction. - Branimir Ljubic; Shoumik Roychoudhury; Xi Hang Cao; Martin Pavlovski; Stefan Obradovic; Richard Nair; Lucas Glass; Zoran Obradovic (Comput. Methods Programs Biomed., 2020)

DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction. - Xingyao Zhang; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (CoRR, 2020)

CLARA: Clinical Report Auto-completion. - Siddharth Biswal; Cao Xiao; Lucas M. Glass; M. Brandon Westover; Jimeng Sun 001 (CoRR, 2020)

DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit. - Kexin Huang; Tianfan Fu; Cao Xiao; Lucas Glass; Jimeng Sun 001 (CoRR, 2020)

SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks. - Kexin Huang; Cao Xiao; Lucas Glass; Marinka Zitnik; Jimeng Sun 001 (CoRR, 2020)

Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification. - Rakshith Sharma Srinivasa; Cao Xiao; Lucas Glass; Justin Romberg; Jimeng Sun 001 (CoRR, 2020)

MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning. - Kexin Huang; Tianfan Fu; Dawood Khan; Ali Abid; Ali Abdalla; Abubakar Abid; Lucas M. Glass; Marinka Zitnik; Cao Xiao; Jimeng Sun 001 (CoRR, 2020)

Dr. Agent: Clinical predictive model via mimicked second opinions. - Junyi Gao; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (J. Am. Medical Informatics Assoc., 2020)

MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. - Tianfan Fu; Cao Xiao; Xinhao Li 001; Lucas M. Glass; Jimeng Sun 001 (AAAI, 2021)

STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. - Nikos Kargas; Cheng Qian 001; Nicholas D. Sidiropoulos; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (AAAI, 2021)

Fusion: Towards Automated ICD Coding via Feature Compression. - Junyu Luo 001; Cao Xiao; Lucas Glass; Jimeng Sun 001; Fenglong Ma (ACL/IJCNLP (Findings), 2021)

SPEAR: self-supervised post-training enhancer for molecule optimization. - Tianfan Fu; Cao Xiao; Kexin Huang; Lucas M. Glass; Jimeng Sun 001 (BCB, 2021)

Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. - Cheng Qian 001; Nikos Kargas; Cao Xiao; Lucas Glass; Nicholas D. Sidiropoulos; Jimeng Sun 001 (IJCAI, 2021)

Change Matters: Medication Change Prediction with Recurrent Residual Networks. - Chaoqi Yang; Cao Xiao; Lucas Glass; Jimeng Sun 001 (IJCAI, 2021)

SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations. - Chaoqi Yang; Cao Xiao; Fenglong Ma; Lucas Glass; Jimeng Sun 001 (IJCAI, 2021)

Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery. - Tianfan Fu; Cao Xiao; Cheng Qian 001; Lucas M. Glass; Jimeng Sun 001 (KDD, 2021)

UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. - Chacha Chen; Junjie Liang; Fenglong Ma; Lucas Glass; Jimeng Sun 001; Cao Xiao (WWW, 2021)

DeepPurpose: a deep learning library for drug-target interaction prediction. - Kexin Huang; Tianfan Fu; Lucas M. Glass; Marinka Zitnik; Cao Xiao; Jimeng Sun 001 (Bioinform., 2021)

MolTrans: Molecular Interaction Transformer for drug-target interaction prediction. - Kexin Huang; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (Bioinform., 2021)

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization. - Yue Yu 001; Kexin Huang; Chao Zhang 014; Lucas M. Glass; Jimeng Sun 001; Cao Xiao (Bioinform., 2021)

PyHealth: A Python Library for Health Predictive Models. - Yue Zhao 016; Zhi Qiao 007; Cao Xiao; Lucas Glass; Jimeng Sun 001 (CoRR, 2021)

HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data. - Tianfan Fu; Kexin Huang; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (CoRR, 2021)

SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations. - Chaoqi Yang; Cao Xiao; Fenglong Ma; Lucas Glass; Jimeng Sun 001 (CoRR, 2021)

STAN: spatio-temporal attention network for pandemic prediction using real-world evidence. - Junyi Gao; Rakshith Sharma Srinivasa; Cheng Qian 001; Lucas M. Glass; Jeffrey Spaeder; Justin Romberg; Jimeng Sun 001; Cao Xiao (J. Am. Medical Informatics Assoc., 2021)

FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection. - Zhi Qiao 007; Austin Bae; Lucas M. Glass; Cao Xiao; Jimeng Sun 001 (J. Am. Medical Informatics Assoc., 2021)

Machine learning applications for therapeutic tasks with genomics data. - Kexin Huang; Cao Xiao; Lucas M. Glass; Cathy W. Critchlow; Greg Gibson; Jimeng Sun 001 (Patterns, 2021)

SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models. - Zhen Lin 001; Lucas Glass; M. Brandon Westover; Cao Xiao; Jimeng Sun 001 (AAAI, 2022)

Towards Federated COVID-19 Vaccine Side Effect Prediction. - Jiaqi Wang 002; Cheng Qian 001; Suhan Cui; Lucas Glass; Fenglong Ma (ECML/PKDD (6), 2022)

AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment. - Zhenbang Wu; Cao Xiao; Lucas M. Glass; David M. Liebovitz; Jimeng Sun 001 (ECML/PKDD (2), 2022)

PopNet: Real-Time Population-Level Disease Prediction with Data Latency. - Junyi Gao; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (WWW, 2022)

JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion. - Cheng Qian 001; Kejun Huang; Lucas Glass; Rakshith Sharma Srinivasa; Jimeng Sun 001 (CoRR, 2022)

Clinical trial site matching with improved diversity using fair policy learning. - Rakshith Sharma Srinivasa; Cheng Qian 001; Brandon Theodorou; Jeffrey Spaeder; Cao Xiao; Lucas Glass; Jimeng Sun 001 (CoRR, 2022)

Artificial Intelligence for In Silico Clinical Trials: A Review. - Zifeng Wang 008; Chufan Gao; Lucas M. Glass; Jimeng Sun 001 (CoRR, 2022)

Knowledge-Driven New Drug Recommendation. - Zhenbang Wu; Huaxiu Yao; Zhe Su; David M. Liebovitz; Lucas M. Glass; James Zou 001; Chelsea Finn; Jimeng Sun 001 (CoRR, 2022)

HINT: Hierarchical interaction network for clinical-trial-outcome predictions. - Tianfan Fu; Kexin Huang; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (Patterns, 2022)

MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization. - Tianfan Fu; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (IEEE Trans. Knowl. Data Eng., 2022)

ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons. - Junyu Luo 001; Zhi Qiao 007; Lucas Glass; Cao Xiao; Fenglong Ma (CIKM, 2023)

pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data. - Junyu Luo 001; Cheng Qian 001; Xiaochen Wang 002; Lucas Glass; Fenglong Ma (CIKM, 2023)

Enrollment Rate Prediction in Clinical Trials based on CDF Sketching and Tensor Factorization tools. - Magda Amiridi; Cheng Qian 001; Nicholas D. Sidiropoulos; Lucas M. Glass (ICASSP, 2023)

DeCom: Deep Coupled-Factorization Machine for Post COVID-19 Respiratory Syncytial Virus Prediction with Nonpharmaceutical Interventions Awareness. - Xinyan Li; Cheng Qian 001; Lucas Glass (CoRR, 2023)

Triple Simplex Matrix Completion for Expense Forecasting. - Cheng Qian 001; Lucas Glass; Nikos D. Sidiropoulos (CoRR, 2023)

Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus. - Chaoqi Yang; Junyi Gao; Lucas Glass; Adam Cross; Jimeng Sun 001 (J. Am. Medical Informatics Assoc., 2023)

Clinical Trial Retrieval via Multi-grained Similarity Learning. - Junyu Luo 001; Cheng Qian 001; Lucas Glass; Fenglong Ma (SIGIR, 2024)

TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets. - Jintai Chen; Yaojun Hu; Yue Wang; Yingzhou Lu; Xu Cao; Miao Lin; Hongxia Xu; Jian Wu 001; Cao Xiao; Jimeng Sun 001; Lucas Glass; Kexin Huang; et al. (CoRR, 2024)

FRAMM: Fair ranking with missing modalities for clinical trial site selection. - Brandon Theodorou; Lucas Glass; Cao Xiao; Jimeng Sun 001 (Patterns, 2024)

MediSim: Multi-granular simulation for enriching longitudinal, multi-modal electronic health records. - Brandon Theodorou; Cao Xiao; Lucas Glass; Jimeng Sun 001 (Patterns, 2025)