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09/06/2023
Zero-Resource Hallucination Prevention for Large Language Models
The prevalent use of large language models (LLMs) in various domains has...
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07/19/2023
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-Based Memory Network
Clinical trials are critical for drug development but often suffer from ...
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06/06/2023
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development
Drug development is a complex process that aims to test the efficacy and...
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05/30/2023
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection
Despite many efforts to address the disparities, the underrepresentation...
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05/22/2023
GraphCare: Enhancing Healthcare Predictions with Open-World Personalized Knowledge Graphs
Clinical predictive models often rely on patients electronic health reco...
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05/20/2023
AnyPredict: Foundation Model for Tabular Prediction
Foundation models are pre-trained on massive data to perform well across...
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05/19/2023
AutoTrial: Prompting Language Models for Clinical Trial Design
Clinical trials are critical for drug development. Constructing the appr...
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04/07/2023
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning
Clinical trials are essential to drug development but time-consuming, co...
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04/04/2023
Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model
Synthetic electronic health records (EHRs) that are both realistic and p...
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02/02/2023
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control
Many real-world multi-label prediction problems involve set-valued predi...
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04/13/2022
Clinical trial site matching with improved diversity using fair policy learning
The ongoing pandemic has highlighted the importance of reliable and effi...
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03/04/2022
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment
Given a deep learning model trained on data from a source site, how to d...
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12/11/2021
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare
Deep neural networks (DNNs) have been broadly adopted in health risk pre...
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09/22/2021
Differentiable Scaffolding Tree for Molecular Optimization
The structural design of functional molecules, also called molecular opt...
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06/15/2021
Augmented Tensor Decomposition with Stochastic Optimization
Tensor decompositions are powerful tools for dimensionality reduction an...
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06/14/2021
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations
Existing tensor completion formulation mostly relies on partial observat...
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05/11/2021
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data
Real-world spatio-temporal data is often incomplete or inaccurate due to...
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05/05/2021
Change Matters: Medication Change Prediction with Recurrent Residual Networks
Deep learning is revolutionizing predictive healthcare, including recomm...
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05/05/2021
SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations
Medication recommendation is an essential task of AI for healthcare. Exi...
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05/03/2021
Machine Learning Applications for Therapeutic Tasks with Genomics Data
Thanks to the increasing availability of genomics and other biomedical d...
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03/05/2021
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models
Despite deep learning (DL) success in classification problems, DL classi...
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02/08/2021
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data
Clinical trials are crucial for drug development but are time consuming,...
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12/08/2020
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization
Accurate prediction of the transmission of epidemic diseases such as COV...
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12/04/2020
A Benchmark Dataset for Understandable Medical Language Translation
In this paper, we introduce MedLane – a new human-annotated Medical Lang...
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10/30/2020
FLANNEL: Focal Loss Based Neural Network Ensemble for COVID-19 Detection
To test the possibility of differentiating chest x-ray images of COVID-1...
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10/28/2020
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data
Counterfactual prediction is about predicting outcome of the unobserved ...
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10/22/2020
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data
Successful health risk prediction demands accuracy and reliability of th...
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10/05/2020
MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning
The efficacy of a drug depends on its binding affinity to the therapeuti...
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10/05/2020
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization
Molecule optimization is a fundamental task for accelerating drug discov...
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10/04/2020
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization
Thanks to the increasing availability of drug-drug interactions (DDI) da...
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06/15/2020
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification
The attention mechanism has demonstrated superior performance for infere...
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06/15/2020
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching
Clinical trials play important roles in drug development but often suffe...
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05/21/2020
CHEER: Rich Model Helps Poor Model via Knowledge Infusion
There is a growing interest in applying deep learning (DL) to healthcare...
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04/30/2020
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks
Molecular interaction networks are powerful resources for the discovery....
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04/23/2020
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction
Drug target interaction (DTI) prediction is a foundational task for in s...
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04/19/2020
DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit
We present DeepPurpose, a deep learning toolkit for simple and efficient...
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02/26/2020
CLARA: Clinical Report Auto-completion
Generating clinical reports from raw recordings such as X-rays and elect...
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01/29/2020
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
In recent years, significant attention has been devoted towards integrat...
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01/24/2020
StageNet: Stage-Aware Neural Networks for Health Risk Prediction
Deep learning has demonstrated success in health risk prediction especia...
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01/22/2020
DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction
Clinical trials are essential for drug development but often suffer from...
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01/22/2020
DeepEnroll: Patient-Trial Matching with Deep Embeddingand Entailment Prediction
Clinical trials are essential for drug development but often suffer from...
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12/28/2019
Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review
Objective: To conduct a systematic review of deep learning methods on El...
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11/26/2019
CONAN: Complementary Pattern Augmentation for Rare Disease Detection
Rare diseases affect hundreds of millions of people worldwide but are ha...
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11/23/2019
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment
Massive electronic health records (EHRs) enable the success of learning ...
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11/19/2019
CUP: Cluster Pruning for Compressing Deep Neural Networks
We propose Cluster Pruning (CUP) for compressing and accelerating deep n...
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11/15/2019
CASTER: Predicting Drug Interactions with Chemical Substructure Representation
Adverse drug-drug interactions (DDIs) remain a leading cause of morbidit...
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10/14/2019
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules
Sleep staging is a crucial task for diagnosing sleep disorders. It is te...
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10/04/2019
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks
Gaining more comprehensive knowledge about drug-drug interactions (DDIs)...
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07/01/2019
Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model
Many computational models were proposed to extract temporal patterns fro...
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07/01/2019