Projects

Personalised, machine learning based prediction of asthma in children

This study aims to show that asthma and allergies in individuals can be predicted before it occurs based on individual family history and information on the early environment.

Understanding the relative contributions of the lung, respiratory muscles and the blood vessels to severity of chronic lung disease in very preterm infants (PIFCO Follow-up)

Graham Ingrid Shannon Hall Laing Simpson BAppSci PhD CRFS FANZSRS FThorSoc FERS BSc PhD BMedSci (hons), PhD Honorary Research Associate Head, Children's Respiratory Science Head, Strong Beginnings Research, Co-head Foundations of Lung Disease 6319

The Global Asthma Network: Understanding asthma in urban and regional Western Australia

Rachel Graham Alexandra Foong Hall Whelan BSc (hons), PhD, MBiostat BAppSci PhD CRFS FANZSRS FThorSoc FERS BSc, MPH Honorary Research Associate Honorary Research Associate Honorary Team Member / Co-Program Manager 08 6319 1626 0863191618

Preventing perioperative respiratory complications in children with recurrent respiratory symptoms

Elizabeth Graham Smith Hall PhD, MSc, BSc BAppSci PhD CRFS FANZSRS FThorSoc FERS Program Manager Honorary Research Associate 08 6319 1178 elizabeth.smith@thekids.org.au Program Manager Honorary Research Associate Dr Smith is a Respiratory and Sleep

Predicting long term lung health outcomes in young adults born very preterm (WALHIP 19 year old follow-up)

This study will conduct a detailed lung health assessment in a follow-up of a group of preterm individuals at 19 years of age.