Øygunn Aass

[Submitted on 20 Jun 2024 ( v1 ), last revised 7 Aug 2024 (this version, v2)] Title:Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data View a PDF of the paper titled Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data, by Sajad Amouei Sheshkal and 5 other authors View PDF HTML (experimental) Abstract:Dry eye disease is a common disorder of the ocular surface, leading patients to seek eye...

Abstract Patients undergoing intensity-modulated radiotherapy (IMRT) for head and neck cancer may have increased incidence of dry eye disease and the exact mechanism is unclear. The present study aims to assess tear film and meibomian gland (MG) features in patients who received IMRT for head and neck cancer not involving the orbital area. Twenty-seven patients (64.7 ± 9.8 years) and 30 age-matched controls (61.4 ± 11.0 years) underwent a comprehensive dry eye work-up.