A follow-up study of a blood test for autism resulted in an 88% accuracy rate, on par with the original study. The test analysis uses an algorithm to predict whether a child has autism based on the level of 22 metabolites in a blood sample. An earlier study of the blood test with 149 participants used 24 metabolites, and identified 96% of the typically developing participants and 97% of those previously diagnosed with autism.

These findings were reported in “Multivariate Techniques Enable A Biochemical Classification Of Children With Autism Spectrum Disorder Versus Typically-Developing Peers: A Comparison And Validation . . .

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