Canada Spends Logo

Explore our Budget 2026 analysis

Grant: Project Gr.- PA: Sex/Gender in Health Res.- Adv. Intersec. in sex/gender science

University of British Columbia

$100,000.00

Harnessing artificial intelligence (AI) to investigate sex and gender differences in diabetic retinopathy

FY 2024-25

Summary
Diabetic retinopathy (DR) is an eye disease caused by diabetes that can lead to blindness if left untreated. As the leading cause of blindness among working-age Canadians, early detection of DR is essential to preventing vision loss. When DR advances, it can progress to more severe stages, such as proliferative DR (PDR), which causes irreversible damage to the retina. Macular edema (ME), a swelling in the retina, is another complication of DR and represents the most common cause of vision loss in this condition. Recent research shows that diabetes complications may manifest differently in men and women. Delayed or missed diagnoses-stemming from sex- and gender-based differences in symptom presentation-can hinder effective treatment and management, adversely impacting survival, overall health, and quality of life among men, women, and gender-diverse individuals. Using AI-assisted analysis of retinal images, our lab's recent work suggests that women might be at higher risk for developing macular edema, while men could be more prone to proliferative diabetic retinopathy. Despite these differences, current clinical practices do not account for sex in diagnosing, managing, or treating DR. We hypothesize that DR presents differently depending on a person's sex and gender, and our primary goal is to uncover these differences. Our interdisciplinary team of ophthalmologists, engineers, and mathematicians is uniquely equipped to advance this research. The outcomes will identify sex-specific differences in the retinal signs of DR and enable clinicians to detect early indicators with greater precision. Early diagnosis and tailored treatment not only save vision but also offer significant cost savings for the Canadian Health System, contributing to a more personalized approach to diabetes care.
Program
Project Gr.- PA: Sex/Gender in Health Res.- Adv. Intersec. in sex/gender science
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database

As published

Id
528294
Name
Oruc Ipek
Region
British Columbia
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Gender and Health
Theme2
Biomedical
Prcname2
Gender, Sex & Health
Projecttitle
Harnessing artificial intelligence (AI) to investigate sex and gender differences in diabetic retinopathy
Programtype2
Operating Grants
Orgnameinp2
University of British Columbia
Cihramount2
$100,000
Cihrequipment2
$0
Programname2
Project Gr.- PA: Sex/Gender in Health Res.- Adv. Intersec. in sex/gender science
Keyworddelim
Artificial Intelligence; Convolutional Neural Networks; Explainable Ai; Ophthalmology; Retinal Biomarkers; Retinal Imaging; Sex And Gender Differences
Abstract
Diabetic retinopathy (DR) is an eye disease caused by diabetes that can lead to blindness if left untreated. As the leading cause of blindness among working-age Canadians, early detection of DR is essential to preventing vision loss. When DR advances, it can progress to more severe stages, such as proliferative DR (PDR), which causes irreversible damage to the retina. Macular edema (ME), a swelling in the retina, is another complication of DR and represents the most common cause of vision loss in this condition. Recent research shows that diabetes complications may manifest differently in men and women. Delayed or missed diagnoses-stemming from sex- and gender-based differences in symptom presentation-can hinder effective treatment and management, adversely impacting survival, overall health, and quality of life among men, women, and gender-diverse individuals. Using AI-assisted analysis of retinal images, our lab's recent work suggests that women might be at higher risk for developing macular edema, while men could be more prone to proliferative diabetic retinopathy. Despite these differences, current clinical practices do not account for sex in diagnosing, managing, or treating DR. We hypothesize that DR presents differently depending on a person's sex and gender, and our primary goal is to uncover these differences. Our interdisciplinary team of ophthalmologists, engineers, and mathematicians is uniquely equipped to advance this research. The outcomes will identify sex-specific differences in the retinal signs of DR and enable clinicians to detect early indicators with greater precision. Early diagnosis and tailored treatment not only save vision but also offer significant cost savings for the Canadian Health System, contributing to a more personalized approach to diabetes care.
Competitiondate
202503
Approvedterm2
1 yr 0 mth
Pinamesdelim
Oruc, Ipek
Approvedterm
1 an 0 mois
Cihrcontribution2
~ $100,000~ $0~
University of British Columbia - $100,000 Grant (2024… | Canada Spends