- Computational Drug Discovery Methods
- Tuberculosis Research and Epidemiology
- Artificial Intelligence in Healthcare and Education
- Digital Communication and Language
- Genomics and Rare Diseases
- Digital Media and Visual Art
- Viral Infections and Vectors
- Speech and dialogue systems
- Gaze Tracking and Assistive Technology
- Online and Blended Learning
- AI in Service Interactions
- Diverse Music Education Insights
- Nasal Surgery and Airway Studies
- Reconstructive Facial Surgery Techniques
- Linguistic Variation and Morphology
- Educational Technology and Pedagogy
- Glaucoma and retinal disorders
- Machine Learning in Healthcare
- Mosquito-borne diseases and control
- Grief, Bereavement, and Mental Health
- Emotional Intelligence and Performance
- COVID-19 diagnosis using AI
- Palliative Care and End-of-Life Issues
- Patient Safety and Medication Errors
- Meta-analysis and systematic reviews
University of North Carolina at Greensboro
2024
University of North Carolina at Chapel Hill
2016-2024
Beckman Laser Institute and Medical Clinic
2009
University of California, Irvine
2009
Massachusetts Institute of Technology
2001
This study aimed to evaluate the performance of large language models (LLMs) in task abstract screening systematic review and meta-analysis studies, exploring their effectiveness, efficiency, potential integration into existing human expert-based workflows.
Abstract This study investigated the speech recognition abilities of popular voice assistants when being verbally asked about commonly dispensed medications by a variety participants. Voice recordings 46 participants (12 which had foreign accent in English) were played back to Amazon’s Alexa, Google Assistant, and Apple’s Siri for brand- generic names top 50 most United States. A repeated measures ANOVA indicated that Assistant achieved highest comprehension accuracy both brand medication (...
In response to the COVID-19 pandemic, we established COVID-KOP, a new knowledgebase integrating existing Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways (ROBOKOP) biomedical knowledge graph with information from recent literature on annotated CORD-19 collection. COVID-KOP can be used effectively generate hypotheses concerning repurposing of known drugs and clinical drug candidates against by establishing respective confirmatory pathways action.COVID-KOP is freely...
<title>Abstract</title> <bold>Objective:</bold>This study aimed to evaluate the performance of Large Language Models (LLMs) in task abstract screening systematic review and meta-analysis studies, exploring their effectiveness, efficiency, potential integration into existing human expert-based workflows. <bold>Methods:</bold>We developed automation scripts Python interact with APIs several LLM tools, including ChatGPT v4.0, v3.5, Google PaLM, Meta Llama 2. This focused on three databases...
Electromechanical reshaping (EMR) of cartilage is a novel technique that has significant potential for use in facial reconstructive surgery. EMR achieves permanent shape change by initiating electrochemical redox reactions the vicinity stress concentrations, thereby altering mechanical properties tissue matrix. This study reports six electrode needle-based geometric configuration to reshape cartilage. Rectangular samples (24 x 12 1 mm) rabbit nasal septal cartilages were bent at right angle...
<p>In response to the COVID-19 pandemic, we established COVID-KOP, a new knowledgebase integrating existing ROBOKOP biomedical knowledge graph with information from recent literature on annotated in CORD-19 collection. COVID-KOP can be used effectively test hypotheses concerning repurposing of known drugs and clinical drug candidates against COVID-19. is freely accessible at <a href="https://covidkop.renci.org/">https://covidkop.renci.org/</a>. For code instructions for...
In response to the COVID-19 pandemic, we established COVID-KOP, a new knowledgebase integrating existing ROBOKOP biomedical knowledge graph with information from recent literature on annotated in CORD-19 collection. COVID-KOP can be used effectively test hypotheses concerning repurposing of known drugs and clinical drug candidates against COVID-19. is freely accessible at https://covidkop.renci.org/. For code instructions for original ROBOKOP, see: https://github.com/NCATS-Gamma/robokop.
Appears in: EDULEARN21 Proceedings Publication year: 2021Page: 656 (abstract only)ISBN: 978-84-09-31267-2ISSN: 2340-1117doi: 10.21125/edulearn.2021.0183Conference name: 13th International Conference on Education and New Learning TechnologiesDates: 5-6 July, 2021Location: Online
A medication safety survey was created during our first year pharmacy rotations in order to assess and gain insight how safe patients are with their medications at home. The patient population from the nursing units emergency department of Moses Cone Hospital Greensboro, NC. questions covered topics including take medications, storage, disposal, as well adherence.
 
 Type: Student Project