For a start-up, its test under development would be able to screen for the disorder with 81% accuracy.
At the beginning of December last year Journal of Clinical Medicine disseminated the results of the work carried out by start-up Linus Biotechnology based in New York.
The company is developing a test to detect autism before symptoms appear.
A difficult diagnosis
This neurodevelopmental disorder is not easy to detect. When most children are diagnosed from the age of 3, the first signs of the disease can already appear from the age of 1.
And of course, the later a child is taken into custody, the more difficult it is to propose and set up personal care.
A simple hair to detect an autistic disorder?
Manish Arora, co-founder of the startup, claims that Linus Biotechnology’s test is based on the analysis of substances or metals that children have been exposed to over time, reports Health Magazine.
And a single hair will be able to provide information about the presence of risk markers.
It is an algorithm that then does the work and it would be able to make a prediction with 81% accuracy. The collected data is compared with the database of the algorithm in question. In other words, the technology blends machine learning from the detection tool and thousands of analyses.
Efficiency must be ensured
The researchers summarize:
We have developed non-invasive ASD biomarkers using mass spectrometric analyzes of elemental metabolism in single hair strands, combined with machine learning.
If other research should confirm the effectiveness of this test, the startup is already considering implementing the test for other diseases with the involvement of environmental factors such as certain cancers, stomach disorders, to name a few.