A new physiological test relies on an algorithm that analyzes metabolites in blood samples to predict whether a person has an ASD diagnosis. The algorithm was 94.7% effective in determining autism diagnosis and was slightly more reliable when co-occurring conditions, such as gastrointestinal disorders, were taken into account.
Physiological Test for Autism Proves Effective Independent of Co-Occurring Conditions
Neuroscience News - 30 Aug 2020 20:34
A new physiological test relies on an algorithm that analyzes metabolites in blood samples to predict whether a person has an ASD diagnosis. The algorithm was 94.7% effective in determining autism diagnosis and was slightly more reliable when co-occurring conditions, such as gastrointestinal disorders, were taken into account.
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