FEB 25, 2021 11:43 AM PST

Machine Learning Identifies Autism Spectrum Disorder in Blood Biomarkers

WRITTEN BY: Nouran Amin

Machine learning in diagnosis is not a foreign concept. Now, scientists aim to use machine learning tools for the purpose of seeking blood biomarkers of the autism spectrum disorder (ASD) to allow families to begin effective therapies sooner.

Learn more about the autism spectrum disorder:

Scientists were able to identify nine serum proteins in the blood that strongly predict ASD which were reported in a study published by PLOS ONE.

"The more significantly affected the child is, the higher or lower than normal the blood biomarker is," German says. "Ideally, there will be a day when a child is identified using blood biomarkers as being at risk for developing ASD and therapies can be started immediately. That would help the child develop skills to optimize their communication and learning."

Source: Science Daily

About the Author
Doctorate (PhD)
Nouran is a scientist, educator, and life-long learner with a passion for making science more communicable. When not busy in the lab isolating blood macrophages, she enjoys writing on various STEM topics.
You May Also Like
Loading Comments...