There is much development needed in the field of allergy detection. The recent technology accessible to people right now falls under two categories: blood and skin test, and oral food intake test. The former delivers false positives result in almost 50-60% of the cases. The later, on the other hand, is a risky process and one in which stress and trauma could be induced to patients.

The creation of new ways for allergy detection is one that teen Ayush Alag takes seriously. Having experienced food allergic reaction himself as a child, the traumatic event fueled him to look for other solutions that are noninvasive in nature.

Now 17, he has successfully developed a non-invasive and safe screening technology that uses machine learning to flag genetic markers associated with food allergies. His invention is among the top 40 finalists for the Regeneron Science Talent Search and it has the potential of becoming something big with the help of further testing and some fund grant.

At a young age of 14, he has already started the early stages of his invention by studying specific genes highly correlated with certain allergies. Having had a knack for computer programming and with the help of some publicly accessible data, he later successfully programmed an algorithm that flags certain genetic characteristics of blood samples highly linked to food allergies.

He narrowed those genetic markers to 18, which he thought are the most relevant in achieving high accuracy of positive allergy detection. The final product only needs to have a blood sample from a patient and it will be able to indicate if that patient has an allergic reaction to certain food items.

Experts say that his invention is generally classified under Genetic testing and definitely needs a larger sample size in succeeding testing.

Now, Ayush Alag has established a company, named Allergezy, which primarily promotes further advances and fine-tuning of his technology.