12 citations · 26 across the 11 of their papers we have counts for
11 papers
Clinical Trial Recommendations Using Semantics-Based Inductive Inference and Knowledge Graph Embeddings
Murthy V. Devarakonda, Smita Mohanty, Raja Rao Sunkishala +2
Designing a new clinical trial entails many decisions, such as defining a cohort and setting the study objectives to name a few, and therefore can benefit from recommendations base…
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…
COVID-19: Comparative Analysis of Methods for Identifying Articles Related to Therapeutics and Vaccines without Using Labeled Data
Mihir Parmar, Ashwin Karthik Ambalavanan, Hong Guan +3
Here we proposed an approach to analyze text classification methods based on the presence or absence of task-specific terms (and their synonyms) in the text. We applied this approa…
Cascade Neural Ensemble for Identifying Scientifically Sound Articles
Ashwin Karthik Ambalavanan, Murthy Devarakonda
Background: A significant barrier to conducting systematic reviews and meta-analysis is efficiently finding scientifically sound relevant articles. Typically, less than 1% of artic…