Several conditions that affect the central nervous system of newborns are reflected in their cry. We are analysing and identifying acoustic biomarkers in the infant cry that could aid in diagnosis.
Predicting long-term disability in newborns that have suffered severe, hypoxic events at birth is important for long-term support and survival. We are correlating the cry sound at discharge with developmental indices at 18-24 months.
Could we help new parents better understand their babies? Through automated cry analysis we can extract indicators of basic needs (pain, hunger, sleep), and translate this to parents to facilitate optimal care.
Perinatal asphyxia is one of the top 3 causes of infant mortality in the world, causing the death of about 1.2 million infants and severe life-long disabilities (such as cerebral palsy, deafness, and paralysis) to an equal number annually.
"If newborns who have asphyxia can be detected early enough, we may be able to save their lives" - UN.
The Ubenwa mobile app is a screening tool that takes as input the infant cry sound, then analyses its amplitude and frequency patterns to estimate the risk of perinatal asphyxia. We achieve this by comparing the cry acoustic parameters to our database of clinically-labelled infant cries using machine learning.
A blog post reflecting on some interesting highlights of the year 2019 and our focus for 2020
Ubenwa was recognized by the World Health Organisation as one of top 30 healthcare innovators in Africa.
A blog post reflecting on the team's challenges and accomplishments of 2018, and providing a window into what is to come in 2019.
Ubenwa is one of 30 teams globally that have qualified for the 3rd round of AI XPrize competition. [Update: The Ubenwa team voluntarily exited the AI XPrize as of June 6, 2019]
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