Development of clinical algorithms to diagnose and predict prognosis of food allergy

Funding Activity

Website
http://purl.org/au-research/grants/nhmrc/GNT1129228

Funding Status
Closed

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Funded Activity Summary

Australia has the highest rate of food allergy internationally. Despite ongoing research into the area, there is currently no cure, with patient avoidance the most effective mode for the prevention of food allergy. A food challenge still the gold standard for food allergy diagnosis, and although definitive, is associated with a risk of anaphylaxis. My research aims to identify the biological differences between active disease and being healthy to develop novel diagnostic methods for food allergy

Funded Activity Details

Start Date: 01-01-2017

End Date: 01-01-2019

Funding Scheme: Project Grants

Funding Amount: $136,636.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

Paediatrics

ANZSRC Socio-Economic Objective (SEO)

There are no SEO codes available for this funding activity

Other Keywords

allergen | diagnosis | food allergy | immunoglobulin E (IgE) | molecular diagnosis

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