Skip to main content

Physiological Test for Autism Proves Effective Independent of Co-Occurring Conditions

This shows a child playing with blocksA 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.

from Neuroscience News https://ift.tt/2EIfeIh
Labels:

Comments

Post a Comment

Popular posts from this blog

Reading Minds to Understand Human Tool Use

Combining brain imaging data with machine learning, researchers make new discoveries about how the brain controls the hand. The findings could lead to the development of more advanced neuroprosthetics. from Neuroscience News https://ift.tt/3tv7BbC
Post a Comment
Read more

Rethinking the Link Between Cannabinoids and Learning

Disrupted cannabinoid signaling impairs learning by altering behavioral states. from Neuroscience News https://ift.tt/2Hrmr0g
Post a Comment
Read more