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World-first evidence links exclusive colostrum intake with reduced peanut allergy risk

First-of-its-kind findings show that newborns exclusively fed colostrum in their first 72 hours of life were five times less likely to develop a peanut allergy by 12-18 months, and 11 times less likely to develop multiple food allergies (such as egg or cow’s milk) compared with infants who also received formula

$1.5 million funding advances translational research outcomes in early childhood and family health

ORIGINS, the largest longitudinal cohort study of its kind in Australia, delivered in partnership between The Kids Research Institute Australia and Joondalup Health Campus, has received $1.5 million funding from the Minderoo Foundation.

Sub-projects

As well as ORIGINS long-term core research, there are a number of clinical trials, early interventions and shorter-term research studies that sit within ORIGINS. Known as sub-projects, these studies look at multiple aspects of child and family health and development.

Recruitment of active participants comes to an end for ORIGINS

ORIGINS has officially reached the study's five-year goal of recruiting 4,000 active participants to the project and has closed recruitment of new families into the active cohort.

Now We Are Five - ORIGINS celebrates milestone

ORIGINS is celebrating its first five-year-old 'graduates'.

Available Data & Biological Samples

ORIGINS is collecting data from multiple sources from the mother, infant and partner at multiple timepoints from gestation through to five years of age.

Be Involved

By participating in ORIGINS, you are contributing to one of the largest and most comprehensive birth cohort studies in Australia.

Benefits for ORIGINS families

ORIGINS is an interventional cohort study, meaning participants receive timely feedback and an action plan to address any potential abnormalities.

Benefits for ORIGINS Families

ORIGINS is an interventional cohort study, meaning participants receive timely feedback and an action plan to address any potential abnormalities.

Machine Learning Approaches for Anatomical Measurement in Fetal Ultrasound Images

This study is investigating whether a machine learning based approach can be used to improve fetal brain anatomy measurement for learning development studies.