Elevating Pain Research With Data-Driven Intelligence
Here at the Pain Intelligence Lab, we integrate machine learning and real-world data to transform pain management and uncover actionable insights.
We are a multidisciplinary team led by professors of computer science and epidemiology from Emory University and Stanford University. Together, we bring decades of combined experience and expertise from world-renowned institutions to address the complexities of pain research and management. With over X peer-reviewed publications, our team blends cutting-edge computational techniques, including AI and machine learning, with robust epidemiological methodologies. Our mission is to revolutionize pain treatment through innovative, data-driven insights and to create real-world solutions that improve patient outcomes globally.
Advanced AI and NLP Integration
Pain Intelligence Lab leverages cutting-edge machine learning models, including BERT and large language models (LLMs), to analyze clinical notes, detect patterns, and provide actionable insights into pain management and treatment pathways.
Large Data and Broad Impact
Our team ensures data integrity and generalizability by leveraging social media and large-scale datasets. This approach allows us to generate insights that address the needs of diverse populations, driving meaningful improvements in patient care on a broad scale.
Collaboration Across Universities
Our team’s network spans multiple universities and health centers, bringing together diverse expertise to revolutionize pain research. By leveraging multi-level collaboration, we deliver impactful solutions for patients and providers alike.