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News & Events

Researcher Spotlight - Jeff Cannon

Dr Jeffrey Cannon is a Health Economist at The Kids Research Institute Australia. Jeff completed his PhD in health economics at the University of Western Australia. His work in health and medical research spans across maternal and newborn health, infectious diseases and more recently, childhood onset diabetes.

News & Events

CGM with remote monitoring makes for happy families

Parents of young children with type 1 diabetes experience significantly better quality of life and reduced fear of hypoglycaemic episodes when given remote access to their child's continuous glucose monitoring, new Children's Diabetes Centre research has found.

News & Events

Healthy holiday habits

The school holidays and Christmas are a welcome break for most families but the lack of routine can prove a trying time for families living with Type 1 Diabetes

News & Events

3rd European Rett Syndrome Conference, October 17-19, Maastricht, The Netherlands

Following last year's World Rett Syndrome Congress held in New Orleans, the 3rd European Rett Syndrome Conference was held in the Netherlands over 3 days.

AusVaxSafety (previously FAST)

The aim of the study is the early identification of problems with the current flu vaccines, and providing parents and professionals with up to date information.

ORIGINS Vision Study

This study is aiming to investigate how sun exposure and time outside impacts the health of your child’s eye and eye growth, over a period of rapid growth in their lives.

Research

Fetal alcohol spectrum disorders: Using knowledge, attitudes and practice of justice professionals to support their educational needs

There was widespread agreement of the need for more information and training about FASD to optimise outcomes for people with FASD engaging with justice system

Research

CAGE-defined promoter regions of the genes implicated in Rett Syndrome

A comprehensive picture of the regulatory regions of the three genes involved in Rett Syndrome

Research

A phenotype centric benchmark of variant prioritisation tools

We hypothesised that the performance of variant prioriisation tools may vary by disease phenotype.