1 citations · 3 across the 5 of their papers we have counts for
5 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…
EEG-NeXt: A Modernized ConvNet for The Classification of Cognitive Activity from EEG
Andac Demir, Iya Khalil, Bulent Kiziltan
One of the main challenges in electroencephalogram (EEG) based brain-computer interface (BCI) systems is learning the subject/session invariant features to classify cognitive activ…
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…
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…