Public Health and Disease Surveillance
Research on using LLMs for public health monitoring, disease surveillance, outbreak detection, and health policy simulation
Public Health and Disease Surveillance
Research on Large Language Models in Public Health and Disease Surveillance
Simulating Vaccine Decisions with AI Agents
Using generative agents to model public health behaviors without human trials
Digital Early Warning: Detecting Avian Influenza Outbreaks
Leveraging social media and search trends for faster disease detection
Detecting Foodborne Illness through Online Reviews
Leveraging LLMs to enhance public health surveillance
LLMs as Research Partners in Social Sciences
How DeepSeek-R1 is transforming humanities research
OmniGeo: Revolutionizing GeoAI
Harnessing Multimodal LLMs for Advanced Geospatial Intelligence
AI-Powered Food Safety Detection
Using LLMs to Identify Food Hazards from Text
AI-Powered Patient Experience Analysis
Using LLMs to decode urgent care satisfaction drivers from online reviews
LLM-Powered Simulations for Healthcare
Using AI to Model Maternal Health Interventions Where Data is Scarce
Social Media Intelligence for Disaster Response
Using LLMs to deliver stakeholder-specific crisis insights
AI Simulation of Persuasive Dialogues on Sustainable Eating
Using LLM-based generative agents to model meat reduction conversations
LLM Bias in Healthcare Decision Simulation
Evaluating how well AI agents represent real human healthcare choices
