Projects
Our research projects focus on developing and applying AI and NLP technologies to solve critical challenges in healthcare.
PittTron
A Large Language Model Trained on University of Pittsburgh Medical Center Electronic Health Records
ENACT NLP
Development and Validation of Natural Language Processing Algorithms in the ENACT National Electronic Health Record Research Network
Large Language Models for Clinical Research Informatics
Investigate how large language models could accelerate clinical research informatics infrastructure development.
ReDWINE
A clinical informatics data warehouse for rehabilitation care and research.
Safety of Large Language Models in Healthcare Applications
Measuring the safety of LLMs in healthcare
Reinforcement learning for Large Language Models
Investigate new reinforcement learning frameworks for LLMs
AI and Precision Nutrition
Investigate how AI has been used in precision nutrition
Generative AI for Medical Education
Investigate how generative AI will impact and advance medical education?
Precision Rehabilitation
Use data-driven approach to identify the precision rehabilitation approaches that could result in optimal clinical outcomes
Generative AI for Assisting People with Disabilities
Investigate how generative AI will assist people with disabilities?
Generative AI for Pathology
Generative AI technologies to advance clinical pratice in pathology using pathology images and EHRs
Evaluation Frameworks for Large Language Models in Healthcare Applications
Evaluation needs to be standardized and comprehensive before the adoption of LLMs in healthcare
Large Language Models for Drug Discovery
Designing creative LLM-based approaches to facilitate drug discovery.
Generative Deep Patient
Foundational AI models and large language models for generative patient embeddings using EHRs
Precision Oncology
NLP and ML algorithms to predict immunotherapy response and metastases prediction on lung adenocarcinoma patients.
Cancer NLP
NLP to extract social determinants of health information from ontology progress notes.
AI Agentic Systems for Clinical Oncology
Build Multi-agent AI systems for intelligent clinical oncology care.
Multi-agentic AI for Headache Referral
Build Multi-agent AI systems for automated headache referral.