Researchers at University of North Carolina-Chapel Hill made computer program that predicted likelihood of developing autism among infants with 80% accurancy

Briefing

Researchers at University of North Carolina-Chapel Hill made computer program that predicted likelihood of developing autism among infants with 80% accurancy

May 7, 2017

Briefing

  • Early Autism Diagnosis – Researchers at University of North Carolina-Chapel Hill correctly predicted infants with likelihood of acquiring autism at two years of age, earlier than when symptoms, such as lack of social interest, delayed language, and repetitive body movements, start manifesting in child
  • Brain Overgrowth Discovery – Using magnetic resonance imaging (MRI) scans of infants' brains, researchers discovered that subjects who developed autism had growth in surface area of their brains between six to 12 months compared to those who did not
  • Applied Artificial Intelligence – Trained computer program to identify children with likelihood of autism, with machine achieving 80% accuracy
  • Overall Vision – Apply intervention cure before symptoms start showing at two years of age and when brain is most malleable, potentially becoming more effective than treatments post-diagnosis

Accelerator

Sector

Healthcare/Health Sciences

Organization

University of North Carolina - Chapel Hill

Source

Original Publication Date

February 15, 2017

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