Gastrointestinal and metabolic disorders are highly prevalent and result in reduced quality of life for many patients. Treatments are aimed at reducing symptoms and preventing complications and progression. More research is needed to better understand natural history and progression, treatment effectiveness, and outcomes.
Linked real-world data (RWD) and machine learning (ML) applications provide a unique opportunity to support clinical development, real-world evidence, and commercialization strategies.
Join Dr. Gary Curhan as he explores:
- Insights into disease progression and condition subtypes
- Treatment response and gaps in care
- Opportunities for using real-world datasets in GI and metabolic conditions
**Please be advised this webinar is intended primarily for biopharmaceutical and medical device companies. Due to the proprietary nature of the content, vendors and consultants’ registration will automatically be declined. Approval is at the discretion of OM1. Please contact email@example.com with any questions.