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SUMMARY:Increasing access to early diagnosis and assessment of autism via 
 objective and cost-effective eye-tracking-based tools - Ami Klin\, PhD\, M
 arcus Autism Center\, Children’s Healthcare of Atlanta and Emory Univers
 ity School of Medicine.  
DTSTART:20240214T150000Z
DTEND:20240214T160000Z
UID:TALK212050@talks.cam.ac.uk
CONTACT:Simon Braschi
DESCRIPTION:This presentation will focus on studies validating social visu
 al engagement\, the moment-by-moment way children look at and learn about 
 their social surroundings\, as a quantitative biomarker for autism. Levera
 ging this science\, we have now developed and validated an eye-tracking-ba
 sed tool for the diagnosis and assessment of autism in 16-30-month toddler
 s. Following 2 multi-site\, prospective\, double-blind clinical trials inv
 olving >1\,600 toddlers\, including 3 independent cohorts and 3 replicatio
 ns\, this tool showed accuracy of a quantitative diagnostic classifier\, a
 nd of 3 quantitative indices of severity: social disability proxying the t
 otal score of the ADOS-2\, and verbal and non-verbal age equivalents proxy
 ing the verbal and non-verbal scales of the Mullen. This tool was cleared 
 by the US FDA in July of 2023\, and it has been in clinical use in the US 
 since August of 2023. Results of the trials appeared in simultaneous publi
 cations in JAMA and JAMA Network Open in September of 2023.
LOCATION:https://us02web.zoom.us/j/81268825017?pwd=dndNSE9selNDTktIUGNNejZ
 KZDFVUT09 
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