Area of research
Molecular Biology · Artificial Intelligence
Research interest
Research focused on Mycoplasma pneumoniae and Microbiology, with related work in Biofilm, Repurposing, Generalizability theory. Notable publications include 'Comparative genome analysis of Mycoplasma pneumoniae', 'Type 1 and type 2 strains of Mycoplasma pneumoniae form different biofilms', and 'Efficient identification of nationally mandated reportable cancer cases using natural language processing and machine learning'.
Environment scan of generative AI infrastructure for clinical and translational science
Announcing the Biomedical Data Translator: Initial Public Release
Use of natural language processing to retrospectively identify and improve follow-up of adrenal incidentalomas based on patient and nodule characteristics
A natural language processing‐informed adrenal gland incidentaloma clinic improves guideline‐based care
An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C)
<scp>Hospital‐associated</scp> disability due to avoidable hospitalizations among older adults
The precision medicine process for treating rare disease using the artificial intelligence tool mediKanren
Identification of Gout Flares in Chief Complaint Text Using Natural Language Processing.
PubMed 2020cited by 14position: first
Efficient identification of nationally mandated reportable cancer cases using natural language processing and machine learning
Comparative genome analysis of Mycoplasma pneumoniae
Reduction of Hydrogen Peroxide Accumulation and Toxicity by a Catalase from Mycoplasma iowae
Type 1 and type 2 strains of Mycoplasma pneumoniae form different biofilms