The researchers at Rensselaer Polytechnic Institute found a new method that can accurately predict if the child is on the Autism spectrum of disorder (ASD). It has been claimed that analyzing biomarkers in a child's blood can diagnose it with a 96 percent of accuracy.

NewsHub reported that this one of its kind methods can classify if an individual is on the autism spectrum or being neurotypical. Based on a recent study, an algorithm that based on levels of metabolites that is found in a blood sample can open the door to an earlier diagnosis and might receive a developmental therapeutics.

Most of the children with high-functioning autism will have related conditions to Asperger syndrome, which are not diagnosed until the child is started schooling, and when they are struggling to cope up structural classes or making friends. It is estimated that there are 65,000 children are on the autism spectrum and 80 percent of them are male.

According to RPI News, the researchers were investigating patterns of various metabolites and found out that there are significant differences between the metabolites of children with ASD and to those who are neurotypical. With these differences, it permits the researchers to categorize if the child is on the Autism spectrum.

The researchers in New York used a sample data from 83 children with autism and 76 of without autism. By using the algorithm, the prediction about the data from the omitted individual correctly identified the 97.6 percent of children with autism, and 96.1 percent of those neurotypical participants.

Dr. Hahn, a member of the Rensselaer Center for Biotechnology and Interdisciplinary Studies said that the researchers did everything to make the model independent of the data, and this will be the first physiological diagnostic that is highly accurate and specific. The full outcomes of Dr. Hahn's work on diagnosing ASD are now publicly available and the doctor hopes that his work will lead to a widely available test.

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