Area of research
Molecular Biology · Artificial Intelligence
Research interest
Research interests include Biomedical Text Mining and Ontologies, Topic Modeling, Pharmacovigilance and Adverse Drug Reactions, and Social Media in Health Education.
Enhancing Medical Knowledge in Large Language Models via Supervised Continued Pretraining on Clinical Notes
Patient-Related Metadata Reported in Sequencing Studies of SARS-CoV-2: Protocol for a Scoping Review and Bibliometric Analysis.
Probing Large Language Model Hidden States for Adverse Drug Reaction Knowledge
Leveraging Unstructured Data in Electronic Health Records to Detect Adverse Events from Pediatric Drug Use - A Scoping Review
Association Between COVID-19 During Pregnancy and Preterm Birth by Trimester of Infection: Retrospective Cohort Study Using Large-Scale Social Media Data.
Health-Related Concerns of Anti-LGBTQ+ Legislation: Thematic Analysis Using Social Media Data.
Detecting Medication Mentions in Social Media Data Using Large Language Models
Probing Large Language Model Hidden States for Adverse Drug Reaction Knowledge
Automated Insomnia Phenotyping from Electronic Health Records: Leveraging Large Language Models to Decode Clinical Narratives
Mining Social Media Data for Influenza Vaccine Effectiveness Using a Large Language Model and Chain-of-Thought Prompting
Reddit posts reveal how natural environments affect social anxiety in young people
Artificial intelligence: revolutionizing cardiology with large language models.
The Value of Social Media Analysis for Adverse Events Detection and Pharmacovigilance: Scoping Review.
Mpox Discourse on Twitter by Sexual Minority Men and Gender-Diverse Individuals: Infodemiological Study Using BERTopic.
Social Media Posts on Statins: What Can We Learn About Patient Experiences and Perspectives?
Using Longitudinal Twitter Data for Digital Epidemiology of Childhood Health Outcomes: An Annotated Data Set and Deep Neural Network Classifiers.
Methods and Annotated Data Sets Used to Predict the Gender and Age of Twitter Users: Scoping Review.
Detecting Goals of Care Conversations in Clinical Notes with Active Learning
Patient-Related Metadata Reported in Sequencing Studies of SARS-CoV-2: Protocol for a Scoping Review and Bibliometric Analysis (Preprint)
The Value of Social Media Analysis for Adverse Events Detection and Pharmacovigilance: Scoping Review (Preprint)
Health-Related Concerns of Anti-LGBTQ+ Legislation: Thematic Analysis Using Social Media Data (Preprint)
Mpox Discourse on Twitter by Sexual Minority Men and Gender-Diverse Individuals: Infodemiological Study Using BERTopic (Preprint)
Exploring content of misinformation about HPV vaccine on twitter.
Automatically Identifying Self-Reports of COVID-19 Diagnosis on Twitter: An Annotated Data Set, Deep Neural Network Classifiers, and a Large-Scale Cohort.
The Role of Social Media for Identifying Adverse Drug Events Data in Pharmacovigilance: Protocol for a Scoping Review.
PhenoID, a language model normalizer of physical examinations from genetics clinical notes
Automatic Extraction of Medication Mentions from Tweets—Overview of the BioCreative VII Shared Task 3 Competition
Pregex: Rule-Based Detection and Extraction of Twitter Data in Pregnancy.
Automatic Extraction of Medication Mentions from Tweets-Overview of the BioCreative VII Shared Task 3 Competition.
Studying social anxiety without triggering it: Establishing an age-controlled cohort of social media users for observational studies