ASD Screener - Early Risk Assessment of Autism Spectrum disorder using Machine Learning
Autism is one of the most common developmental disabilities that impact social and communication skills. While there is no cure, intensive early intervention can make a big difference in the quality of life for many children. Although it varies between individuals, the gut microbiome has helped successfully predict illnesses. Since microbiome data is high dimensional and non-linear, Amritha researched various feature reduction algorithms to develop an intelligent model that would be efficient and help in Autism Spectrum Disorder (ASD) prediction with more accuracy. This model can help physicians diagnose ASD at an early age using gut microbiome data from fecal samples. This model will also allow researchers to quickly and accurately detect microbial signatures that can serve as biomarkers of ASD risk.
Why did you enter the Young Scientist Challenge?
I entered the Young Scientist Challenge to be able to bring awareness of Autism Spectrum Disorder. I wanted to emphasize the importance of early interventions, biomarkers, and objective tests for ASD. I also wanted to use the help of the 3M mentor to be able to further aid those with ASD.
What is your favorite invention of the last 100 years, and why?
TrailJectory is my favorite invention of the last 100 years because it enables cancer patients to be able to make treatment decisions so they have the best possible outcome of recovering. It uses data from previous patients and relevant treatment plans to help cancer patients. I think that this invention is revolutionary in terms of the medical field and in the future could help many people suffering with fatal conditions.
In 15 years I hope to be...
efficiently running a successful platform to further aid individuals with neurological disorders reach their full potential and receive the help and support they need through technology.
You never know what you can accomplish until you try”