Prediction of Congitive Function in Childrens

Project information

  • Project PI (Clinician) :
    • Dr Ai Peng Tan
  • Co - I (Data Scientist) :
    • Dr Mohammad Shaheryar Furqan
  • Grant Name :
    • Brain connectivity in early steps programme : A pilot machine learning model for prediction of cognitive outcomes of preterm children (BRACO-ESP)
  • Grant Ammount ($ SGD) :
  • Current Status :
    • Ongoing

    Background:
    Every year, approximately 15 million babies are born preterm. Preterm children are at high risk for complex cognitive deficits. Objective measures of brain connectivity can potentially be used to stratify preterm children into “low risk” and “high risk” groups for cognitive impairment in later childhood.

    Objective:
    1. To develop a pilot prognostic model to predict cognitive outcome of preterm children based on brain connectomic measures.
    2. To identify “connectomic features” that differentiate preterm from term children.

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