AI, Large Language Models and Data Science Workflows in i2b2

The i2b2 annual symposium brings together experts on AI, Chat-GPT in medicine, i2b2, Digital Twin, and Federated Learning.

Join clinicians, scientists, and technologists from academia and industry to explore the latest in biomedical informatics, AI, and data science using i2b2 implementations

June 9 – Speaker Session

Simmons University

• Computational Phenotypes & Federated Learning
• LLM Applications in i2b2
• Next-Generations ENACT Network
• Enabling Data Science Workflows with i2b2

June 10 – Workshops

Countway Library, Harvard Medical School

• Leveraging AI to Identify Patient cohorts with Medical Conditions (computed phenotypes)
  Learn how to implement AI algorithms in i2b2 and LLMs to enhance patient cohort identification by analyzing medical data and searching patient notes for specific conditions.
• Curating Precision PASC Research Cohorts for Long COVID Studies