Iterative Health will showcase five studies at the American College of Gastroenterology 2024, highlighting how machine learning (ML) can enhance endoscopic assessments in IBD, particularly ulcerative colitis. The research demonstrates ML’s potential to improve clinical trial accuracy, link disease severity with EHR data, and support precision medicine.
Dr. David Rubin (University of Chicago) and Dr. Vijay Yajnik (Takeda) emphasized the value of ML in refining drug development and advancing real-world care. Iterative Health aims to replace traditional scoring with objective insights, streamlining GI research and driving better patient outcomes.
Iterative Health to Present Five Abstracts at ACG 2024 in Collaboration with Leaders in Gastrointestinal Scientific Community (Business Wire)
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