101 citations · 120 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
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…