Grant: Project Grant
Research Institute of the McGill University Health Centre
$382,499.00
Delivering Evidence-Based Care Using Artificial Intelligence to Patients with Diabetes and CardioVascular Comorbidities: From Proof of Concept to Multi-Centre Expansion (DECIDE-CV-2)
EF 2024-25
Résumé
Type 2 diabetes (T2D) is a chronic disease that increases the risk of other complications such as heart attack, heart and kidney failure, and blindness. The number of Canadians living with diabetes or prediabetes is rapidly growing and is expected to reach 33% by 2025. Therefore, strategies to screen and monitor T2D at clinics and at home, are urgently needed. Progression of T2D can be slowed down and its damage to organs in the body is highly preventable with proper implementation of lifestyle changes and medication. If diagnosed early, the effects of T2D can be reversed. Despite this, 40% of Canadians are not getting screened for T2D according to guidelines, and many patients with T2D are left undiagnosed until a major health problem occurs. T2D screening is particularly important among patients with established heart disease. User-friendly devices such as smartwatches and phones show promise as tools to screen for diseases. Scientists are capable of training these devices to detect 'biomarkers' which are specific signals produced by the body that can indicate a disease process. In partnership with Canadian wearable device company (HOP), we have led a study named DECIDE-CV-1 to develop and validate digital screening biomarkers for T2D in large populations. Preliminary results led to a very promising "biomarker" and demonstrated that this strategy is highly feasible if trained on a large enough population. Here, we aim to validate the developed digital biomarkers associated with T2D and HbA1c developed in the initial study (DECIDE-CV-1) in multiple sites across regions of Canada (DECIDE-CV-2). Because of differences in the manifestation of T2D in clinics between men and women, we also aim to optimize the developed digital biomarkers associated with T2D based on biological sex. Overall, if developed and validated, this technology may improve early diagnosis rates of T2D and have a significant impact on improving patients' lives and healthcare management.
Programme
Project Grant
Emplacement
Quebec, Canada
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
510212
Name
Sharma Abhinav
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Nutrition, Metabolism and Diabetes
Theme2
Biomedical
Prcname2
Health Services Evaluation & Interventions Research 3
Projecttitle
Delivering Evidence-Based Care Using Artificial Intelligence to Patients with Diabetes and CardioVascular Comorbidities: From Proof of Concept to Multi-Centre Expansion (DECIDE-CV-2)
Programtype2
Operating Grants
Orgnameinp2
Research Institute of the McGill University Health Centre
Cihramount2
$382,499
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Artificial Intelligence; Biomarker Validation; Diabetes Population Screening; Digital Biomarker; Digital Health; Early Diagnosis; Machine Learning; Multi-Center Study; Type-2 Diabetes; Wearable Device
Abstract
Type 2 diabetes (T2D) is a chronic disease that increases the risk of other complications such as heart attack, heart and kidney failure, and blindness. The number of Canadians living with diabetes or prediabetes is rapidly growing and is expected to reach 33% by 2025. Therefore, strategies to screen and monitor T2D at clinics and at home, are urgently needed. Progression of T2D can be slowed down and its damage to organs in the body is highly preventable with proper implementation of lifestyle changes and medication. If diagnosed early, the effects of T2D can be reversed. Despite this, 40% of Canadians are not getting screened for T2D according to guidelines, and many patients with T2D are left undiagnosed until a major health problem occurs. T2D screening is particularly important among patients with established heart disease. User-friendly devices such as smartwatches and phones show promise as tools to screen for diseases. Scientists are capable of training these devices to detect 'biomarkers' which are specific signals produced by the body that can indicate a disease process. In partnership with Canadian wearable device company (HOP), we have led a study named DECIDE-CV-1 to develop and validate digital screening biomarkers for T2D in large populations. Preliminary results led to a very promising "biomarker" and demonstrated that this strategy is highly feasible if trained on a large enough population. Here, we aim to validate the developed digital biomarkers associated with T2D and HbA1c developed in the initial study (DECIDE-CV-1) in multiple sites across regions of Canada (DECIDE-CV-2). Because of differences in the manifestation of T2D in clinics between men and women, we also aim to optimize the developed digital biomarkers associated with T2D based on biological sex. Overall, if developed and validated, this technology may improve early diagnosis rates of T2D and have a significant impact on improving patients' lives and healthcare management.
Competitiondate
202409
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Sharma, Abhinav; Pilote, Louise
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $382,499~ $0~