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The promise of AI for precision phenotyping and clinical trial readiness in Genetic Neurodevelopmental Disorders

October 7, 2026 from 2:30 pm to 3:50 pm

Date/time: Wednesday, October 7, 2:30–3:50 PM
Room: Pinnacle Ballroom

Chair: Jeffrey Anderson, University of California, Los Angeles

Discussant: Rujuta Wilson, University of California, Los Angeles

Papers

1. Using artificial intelligence for video-based motor assessment
First author: Ryan Roemmich, Center for Movement Studies, Kennedy Krieger Institute; Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine

2. Quantitative Analysis of locomotor phenotypes in Individuals with Genetic and Non-Genetic Neurodevelopmental Disorders.
First author: Jeffrey Anderson, Semel Institute of Neuroscience and Human Behavior

3. Proficiency in Verbal Discourse: An Example of a proposed AI-informed outcome measure for clinical trials in genetic neurodevelopmental disorders.
First author: Audrey Thurm, Boston Children’s Hospital

4. Computational and statistical approaches to capture biologically and clinically-meaningful genetic subgroups
First author: Caitlin Hudac, Department of Psychology, University of South Carolina; Carolina Autism and Neurodevelopment (CAN) Research Center, University of South Carolina