MERCI: A Machine Learning Approach to Identifying Hydroxychloroquine Retinopathy using mfERG

Abstract

Hydroxychloroquine (HCQ) is an anti-inflammatory drug in widespread use for the treatment of systemic auto-immune diseases. Vision loss caused by retinal toxicity is a significant risk associated with long term HCQ therapy. Identifying patients at risk of developing retinal toxicity can help prevent vision loss and improve the quality of life for patients. This paper presents updated reference thresholds and examines the diagnostic accuracy of a machine learning approach for identifying retinal toxicity using the multifocal Electroretinogram (mfERG).

Type
Publication
Documenta Ophthalmologica (145)
Faisal Habib
Faisal Habib
Manager

Faisal Habib manages the research portfolio at the Mathematics, Analytics, and Data Science Lab at the Fields Institute. Faisal has over two decades of experience in various capacities at financial and technology firms. Faisal was instrumental in the success of QWeMA Group – a fintech startup incubated at the Fields Institute and later acquired by Cannex Financial Exchanges where he assumed the role of VP of Research.

Huaxiong Huang
Huaxiong Huang
Professor

Huaxiong Huang is Professor of Mathematics at the York University. He is VP (Academic) and Executive Director of Research Center of Mathematics (Zhuhai, China). He has served as Deputy Director of the Fields Institute and Director of the Fields Centre for Quantitative Analysis and Modelling. His wide array of publications in applied mathematics focus on fluid mechanics and scientific computing, finance, biology, physiology, energy and medicine.

Arvind Gupta
Arvind Gupta
Professor

Arvind Gupta is Professor of Computer Science at the University of Toronto. He has served as President and Vice-Chancellor of UBC, and as the CEO and Scientific Director of Mitacs Inc. He is also a founder of Palette Skills Inc. He has published extensively on theoretical computer science, computational genomics and national innovation strategies.