It is obvious that children's autism can be predicted from blood test with an accuracy of 88%

A research result that children with autistic spectrum spectroscopy (ASD) can be predicted with accuracy of 97% or more from the blood test was shown in August 2017, but it is said that there are problems with research contents from some health institutions I was receiving an indication. Therefore, research team of Jurgen Hearn et al. Who is a professor of medical bioengineering at Rensselaer Polytechnic Institute reviewed the research contents and conducted experiments again, and as a result, it is possible to predict children of ASD from blood test with high accuracy of 88% It became clear.

Multivariate techniques enable a biochemical classification of children with autism spectrum disorder versus typically developing study - Howsmon - - Bioengineering & Translational Medicine - Wiley Online Library
https://onlinelibrary.wiley.com/doi/10.1002/btm2.10095

Success of blood test for autism affirmed | News & Events
https://news.rpi.edu/content/2018/06/19/success-blood-test-autism-affirmed

According to the Center for Disease Prevention and Control, about 1.7% of children are diagnosed with ASD. However, as of 2018, diagnosis of ASD was performed only by clinical observation, and there was a problem that most children can not know the result as to whether it is ASD until 4 years old.

In order to diagnose child autism early, research team of Mr. Hearn used the big data technology to find out the association with ASD from the pattern of metabolic products in the blood and judge whether it is ASD or not We have developed a prediction system.

In a previous study, the research team had successfully entered 24 metabolite data into the predictive system, examined blood samples of 149 children, and diagnosed with more than 97% accuracy . In this follow-up survey, we reduced the data on metabolites used in the prediction system to 22 species and conducted surveys on blood samples of 154 children stored in the Arkansas State Institute for Children Studies. Then, the prediction system succeeded in judging as ASD with an accuracy of 88%.

"We were able to investigate children different from previous studies and predict if we are suffering from autism with high precision as before," Hearn said, pointing out the initial point I am confident that I was able to overturn it.

As of June 2018, Mr. Hearn plans to transfer the diagnosis using this prediction system to a clinical trial and as soon as it will be used for actual diagnosis of ASD in the next few years.