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Research Papers

Welcome to our publication page! Here you'll find a collection of our latest research.

Clinical Trial Foundation model

Preprint
LLM, Clinical trials, foundation model
Panacea paper preview

Patient Recruitment

Nature Communications
Matching patients to clinical trials with large language models
Qiao Jin, Zifeng Wang, Charalampos S. Floudas, Fangyuan Chen, Changlin Gong, Dara Bracken-Clarke, Elisabetta Xue, Yifan Yang, Jimeng Sun & Zhiyong Lu
LLM, Prompting, Patient-Trial Matching
TrialGPT paper preview
KDD'20
COMPOSE: Cross-modal pseudo-siamese network for patient trial matching
Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
Patient-Trial Matching, EHR
COMPOSE paper preview
AAAI'20
Patient-Trial Macthing, EHR
Doctor2Vec paper preview

Trial Design

EMNLP'23
LLM, Instruction Tuning, Eligibility Criteria
AutoTrial paper preview
EMNLP'22
Trial Search, Contrastive Learning, Dense Retrieval
Trial2Vec paper preview
ACM-BCB'23
Trial Outcome, Sequential Learning
SPOT paper preview
Patterns
Trial Outcome, Graph Neural Network
HINT paper preview

Multimodal Model

ICLR'24
BioBridge: Bridging Biomedical Foundation Models via Knowledge Graph
Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala, Rishita Anubhai
Foundation Model, Multimodal AI, Biomedical AI, Knowledge Graph
BioBridge paper preview
EMNLP'22
Vision-Language Model, Multimodal AI, Clinical Note, X-Ray
MedCLIP paper preview

Clinical Predictive Model

Preprint
Tabular Learning, Patient Outcome, LLM, Instruction Tuning
UniPredict paper preview
Preprint
Tabular Learning, Patient Outcome, LLM, Data-Centric AI
MediTab paper preview
NeurIPS'22
TransTab: Learning Transferable Tabular Transformers Across Tables
Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun
Tabular Learning, Patient Outcome, Transfer Learning
TransTab paper preview
JAMIA
STAN: Spatio-Temporal Attention Network for Pandemic Prediction using Real-World Evidence
Junyi Gao, Rakshith Sharma, Cheng Qian, Lucas M Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao
Pandemic Prediction, Graph Neural Network, Real-World Evidence
STAN paper preview
Nature Communications
Evidence-driven spatiotemporal COVID-19 hospitalization prediction with Ising dynamics
Junyi Gao, Joerg Heintz, Christina Mack, Lucas Glass, Adam Cross & Jimeng Sun
Pandemic Prediction, Spatio-temporal Prediction
COVID paper preview
WWW'22
Population Health Prediction, Graph Neural Network, Spatio-temporal Prediction
PopNet paper preview

Synthetic Patient Generation

KDD'23
Ditial Twin, Variational Autoencoder
TWIN paper preview
Nature Communications'23
Synthetic Data, EHR, Language Model
HALO paper preview