By combining advanced imaging, biomarker discovery, and data-driven approaches, this domain aims to improve early identification of developmental risk and inform timely, evidence-based interventions.
Research within this domain investigates how maternal and neonatal characteristics influence physical development at birth, including body composition and adiposity, and seeks to establish much-needed normative data to support clinical assessment.
It also explores how early motor patterns and brain development can act as measurable indicators of later cognitive and motor outcomes.
Areas covered by this research domain are:
- Anthropometrics
- Developmental concerns
- Disability
- Motor skills
- Puberty and sexual maturity
Active
This sub-project will be using ORIGINS data to explore the risk and protective factors of obesity from birth to early childhood.
Learn more about ORIGINS Childhood Obesity
Can baby’s early movements predict learning difficulties later in childhood?
Learn more about Early Moves
This study is investigating whether a machine learning based approach can be used to improve fetal brain anatomy measurement for learning development studies.
Learn more about Machine Learning Approaches for Anatomical Measurement in Fetal Ultrasound Images