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Accuracy of a 2-minute eye-tracking assessment to differentiate young children with and without autism

Eye-tracking could expedite autism identification/diagnosis through standardisation and objectivity. We tested whether Gazefinder autism assessment, with Classification Algorithm derived from gaze fixation durations, would have good accuracy (area under the curve [AUC] ≥ 0.80) to differentiate 2-4-year-old autistic from non-autistic children.

The CliniBank Study: A research project to improve future clinical supports for children experiencing developmental difficulties

Andrew Gemma Gail Videos Whitehouse Watch and listen to Andrew Upson Alvares PhD BSc MClinAud MBA PhD Deputy Director (Research); Angela Wright

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Rural Cancer Siblings

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Sibling Support and Teen Talk Studies

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Infographics

The visual representation of Teen Talk study findings

WA Register for Autism Spectrum Disorders

The aim of the WA Register for Autism Spectrum Disorders is to monitor diagnostic trends of Autism Spectrum Disorders. These disorders develop in