Myasthenia Gravis: Diagnostic Tests
Myasthenia Gravis: Overview and Treatment
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Author Spotlight: Ex Vivo OCT-Based Multimodal Imaging of Human Donor Eyes for Research into Age-Related Macular Degeneration
Published on: May 26, 2023
Armin Handzic1, Marius P Furter, Brigitte C Messmer
1Department of Ophthalmology (AH, BCM, MAW, FCF, KPW), University Hospital Zurich, University of Zurich, Zurich, Switzerland; University of Toronto (AH, EAM), Faculty of Medicine, Department of Ophthalmology and Vision Sciences, Toronto, Ontario, Canada; Institute for Mathematics (IMATH) (MPF), University of Zurich, Zurich, Switzerland; Department of Neurology (YV, KPW), University Hospital Zurich, University of Zurich, Zurich, Switzerland; and Division of Neurology, Department of Medicine (EAM), Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Diagnosing ocular myasthenia gravis (OMG) is challenging. A new prediction model uses diagnostic test results to estimate OMG probability, aiding clinical decisions.
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