Overview of the digital ADOS process, where sensors yield biometric data that are analyzed by signal processing tools in a machine learning approach to differentiate between patient type and group.​
Invention Summary:
The Autism Diagnosis Observation Schedule (ADOS) is the gold standard for autism diagnosis. However, a significant number of people remain undiagnosed due to the limited number of clinicians who administer the assessment and the considerable amount of time it takes to complete. Furthermore, despite the thoroughness of the ADOS, its diagnostic accuracy for female patients is limited.
Rutgers researchers have created a method to study complex dyadic interactions through objective biometrics of social and physical behaviors. With the incorporation of sensors, their technology can capture movements during social interactions and convert them into measurable patterns. These patterns distinguish between high and low levels of autonomy and control in typically developing and autistic children. Using this method, researchers were able to digitize the ADOS and create a tool that is robust across ages and sexes, and may be employed to automate and accelerate autism screenings.
Market Applications:
- Autism screening
- Neurodevelopment diagnosis
Advantages:
- Automation of autism screening process
- Time-efficient screening
- Results more robust versus conventional diagnostic
Intellectual Property & Development Status: Patent application filed. Patent pending. Available for licensing and/or research collaboration. For any business development and other collaborative partnerships, contact: marketingbd@research.rutgers.edu
