Using proprietary acoustic analysis software and Machine Learning (ML) algorithms, the team at Brown University and Women and Infants Hospital has identified a preliminary “cry signature” relating baby cry acoustics to standard assessment of NOWS. This work was supported by the Brown Biomedical Innovation to Impact (BBII) fund.
This work is supported by current NIH funded study R01DA049755: “Clinical markers of neonatal opioid withdrawal syndrome: onset, severity and longitudinal neurodevelopmental outcome”
Additionally, the team has early results correlating baby cry to future diagnosis of autism leading to current NIH funded study R01MH121345 “Neonatal Cry Acoustics and Neurobehavioral Characteristics as Early Markers of Risk for Autism Spectrum Disorder".
https://grantome.com/grant/NIH/R01-MH121345-01
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