Area of research
Molecular Biology · Artificial Intelligence
Research interest
Research interests include Biomedical Text Mining and Ontologies, Machine Learning in Healthcare, Sepsis Diagnosis and Treatment, and Electronic Health Records Systems.
Feasibility of machine learning-based modeling and prediction using multiple centers data to assess intrahepatic cholangiocarcinoma outcomes
The RNA helicase Dhx15 mediates Wnt-induced antimicrobial protein expression in Paneth cells
Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries
A compendium of RNA-binding motifs for decoding gene regulation