News flash – New analysis method of metabolites accurately predicts whether a child has autism

Products of metabolic processes altered in children with autism could enable earlier diagnosis
Products of metabolic processes altered in children with autism could enable earlier diagnosis

“Scientists have developed a new, highly accurate method that analyzes metabolic biomarkers to assess whether a child is on the autism spectrum, according to a study published in PLOS Computational Biology.

Autism spectrum disorder affects about 1.5 percent of all children, but its exact cause remains unknown, and diagnosis requires a multidisciplinary team of doctors. Previous research has revealed certain differences in metabolic processes between children on the autism spectrum and neurotypical children. However, researchers have struggled to translate these differences into new diagnostic tools.”

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