Grant: Operating Grant: Leadership Award for Vaccine Res. - CEPI-CIHR
University of Saskatchewan
$298,675.00
Accelerating Pandemic Readiness: An AI Platform for Rapid Diagnostics and Vaccine Evaluation
EF 2025-26
Résumé
When a new and dangerous virus emerges, our ability to quickly diagnose it and develop an effective vaccine is critical to saving lives. Currently, this process can be too slow to contain an emerging outbreak and stop it from becoming a pandemic. This project proposes a new, faster way to tackle this problem using artificial intelligence (AI). Instead of focusing only on the virus, we will teach computers to recognize the unique "fingerprint" of our own response to the infection creates when it fights off a specific infection. By analyzing thousands of these fingerprints from public data and our own lab work, our AI will learn to instantly identify a disease and, just as importantly, determine if a vaccine is successfully training our bodies to fight it. The goal is to create rapid diagnostic tests and a method to speed up vaccine evaluation that can be easily used even in remote or low-resource areas. This will make Canada and the world better prepared to face the next pandemic threat, whatever it may be.
Programme
Operating Grant: Leadership Award for Vaccine Res. - CEPI-CIHR
Bénéficiaire
Emplacement
Saskatchewan, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
571352
Name
Rasmussen Angela
Region
Saskatchewan
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Infection and Immunity
Theme2
Biomedical
Prcname2
Operating Grant: Leadership Award for Vaccine Research
Projecttitle
Accelerating Pandemic Readiness: An AI Platform for Rapid Diagnostics and Vaccine Evaluation
Programtype2
Operating Grants
Orgnameinp2
University of Saskatchewan
Cihramount2
$298,675
Cihrequipment2
$0
Programname2
Operating Grant: Leadership Award for Vaccine Res. - CEPI-CIHR
Keyworddelim
Ai; Correlates Of Protection; Diagnostics; Emerging Viruses; Machine Learning; Pathogenesis; Systems Biology; Transcriptomics; Vaccines
Abstract
When a new and dangerous virus emerges, our ability to quickly diagnose it and develop an effective vaccine is critical to saving lives. Currently, this process can be too slow to contain an emerging outbreak and stop it from becoming a pandemic. This project proposes a new, faster way to tackle this problem using artificial intelligence (AI). Instead of focusing only on the virus, we will teach computers to recognize the unique "fingerprint" of our own response to the infection creates when it fights off a specific infection. By analyzing thousands of these fingerprints from public data and our own lab work, our AI will learn to instantly identify a disease and, just as importantly, determine if a vaccine is successfully training our bodies to fight it. The goal is to create rapid diagnostic tests and a method to speed up vaccine evaluation that can be easily used even in remote or low-resource areas. This will make Canada and the world better prepared to face the next pandemic threat, whatever it may be.
Competitiondate
202602
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Rasmussen, Angela
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $298,675~ $0~