101 citations · 120 across the 7 of their papers we have counts for
7 papers
Customizing Knowledge Graph Embedding to Improve Clinical Study Recommendation
Xiong Liu, Iya Khalil, Murthy Devarakonda
Inferring knowledge from clinical trials using knowledge graph embedding is an emerging area. However, customizing graph embeddings for different use cases remains a significant ch…
Clinical Trial Information Extraction with BERT
Xiong Liu, Greg L. Hersch, Iya Khalil +1
Natural language processing (NLP) of clinical trial documents can be useful in new trial design. Here we identify entity types relevant to clinical trial design and propose a frame…
A Scalable AI Approach for Clinical Trial Cohort Optimization
Xiong Liu, Cheng Shi, Uday Deore +4
FDA has been promoting enrollment practices that could enhance the diversity of clinical trial populations, through broadening eligibility criteria. However, how to broaden eligibi…
The impact of external innovation on new drug approvals: A retrospective analysis
Xiong Liu, Craig E. Thomas, Christian C. Felder
Pharmaceutical companies are relying more often on external sources of innovation to boost their discovery research productivity. However, more in-depth knowledge about how externa…
Applications of artificial intelligence in drug development using real-world data
Zhaoyi Chen, Xiong Liu, William Hogan +2
The US Food and Drug Administration (FDA) has been actively promoting the use of real-world data (RWD) in drug development. RWD can generate important real-world evidence reflectin…
Attention-Based LSTM Network for COVID-19 Clinical Trial Parsing
Xiong Liu, Luca A. Finelli, Greg L. Hersch +1
COVID-19 clinical trial design is a critical task in developing therapeutics for the prevention and treatment of COVID-19. In this study, we apply a deep learning approach to extra…
Predicting Heart Failure Readmission from Clinical Notes Using Deep Learning
Xiong Liu, Yu Chen, Jay Bae +3
Heart failure hospitalization is a severe burden on healthcare. How to predict and therefore prevent readmission has been a significant challenge in outcomes research. To address t…