A machine learning model of lamina propria fibrosis in eosinophilic esophagitis is accurate and predicts fibrosis-related endoscopic findings Meeting Abstract


Authors: Sivasubramaniam, P.; Shabaan, A.; Elhalaby, R.; Hasan, B.; Patil, A.; Nazli, S.; DaCosta, A.; Park, B. U.; Ricaurte Archila, L.; Smith, L.; Hopson, P.; Absah, I.; Hartley, C.; Graham, R.; Moreira, R.
Abstract Title: A machine learning model of lamina propria fibrosis in eosinophilic esophagitis is accurate and predicts fibrosis-related endoscopic findings
Meeting Title: 114th Annual Meeting of the United States and Canadian Academy of Pathology (USCAP) - See the Light
Journal Title: Laboratory Investigation
Volume: 105
Issue: 3 Suppl.
Meeting Dates: 2025 Mar 22-27
Meeting Location: Boston, MA
ISSN: 0023-6837
Publisher: Nature Publishing Group  
Date Published: 2025-03-01
Start Page: 102920
Language: English
ACCESSION: WOS:001472715700059
DOI: 10.1016/j.labinv.2024.102920
PROVIDER: wos
Notes: Meeting Abstract: 689 -- Source: Wos
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
Related MSK Work