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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Hormones, Anxiety, Video Games, and DNA: Autism Research and Experts Available

Hormones, Anxiety, Video Games, and DNA: Autism Research and Experts Available Recent articles and Expert Profiles on Autism for media covering Autism Awareness Month in April
28-Mar-2024 04:05:09 PM EDT

Researchers Use AI To Predict Challenging Behaviors Common in Profound Autism

Using artificial intelligence tools to analyze years of biomedical data, researchers at Rensselaer Polytechnic Institute have discovered a possible connection between sleep, gastrointestinal health, and two potentially harmful behaviors often associated with profound autism: self-injury and aggression. Their study is published in the Journal of Personalized Medicine.
16-Nov-2023 12:05:37 PM EST

“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.

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