Juergen Hahn, Department Head of Biomedical Engineering at Rensselaer Polytechnic Institute, is a trailblazer in the use of big data methods to improve the diagnosis and treatment of Autism. His research focuses on the use of machine-learning algorithms to analyze complex biological and biomedical systems. He previously developed a physiological test for autism after discovering patterns with certain metabolites in the blood that can accurately predict diagnosis. He is applying that same approach to other areas of autism research including correlating conditions and assessing the effectiveness of possible medical treatments.

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“The test was able to predict autism, regardless of where on the spectrum an individual was,” said Hahn. “Additionally, the test indicates with very good accuracy the severity of certain autism-related conditions."

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“Having medical tests that measure quantities directly related to the physiology is important and we hope that they get incorporated into future trials.” said Hahn, of his research surrounding possible medical treatments.

Media email : hamilr5@rpi.edu

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