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Chris Hammond

King’s College London - Department of Twin Research and Genetic Epidemiology

United Kingdom

  • King’s College London - Department of Twin Research and Genetic Epidemiology

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Predicting Dry Eye Disease and Discovering Serum Metabolic Signatures with Machine Learning

Number of pages: 39 Posted: 25 Mar 2026
Leif Hynnekleiv, Pirro Hysi, Chris Hammond, Tor P. Utheim, Michael A. Riegler, Jelle Vehof and Hugo Lewi Hammer
University of Oslo - Oslo University Hospital, King’s College London, King’s College London - Department of Twin Research and Genetic Epidemiology, University of Oslo - Oslo University Hospital, Simula Metropolitan CDE, University of Groningen and University of Oslo - Oslo University Hospital
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Abstract:

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dry eye, metabolomics, machine learning, prediction, classification, twins