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Ubenwa is an innovative health-tec startup that leverages artificial intelligence and machine learning to diagnose infants within 0–6 months of age. Ubenwa is pioneering an automated sound-based diagnostic solution for infants by leveraging cutting-edge AI and several years of scientific research. Ubenwa analyses a baby’s cry to detect early signs of abnormalities that could be fatal such as asphyxia or brain injury. The company uses an infant’s cry to determine if it falls within the range of having signs of a neurological condition. Crying audio is collected internationally at partner hospitals and categorized into normal or abnormal. From there, the company can predict whether a child may suffer from a potential disorder. Ubenwa's goal is to be a translator for baby cry sounds, providing a non-invasive way to monitor medical conditions everywhere you find a baby: delivery rooms, neonatal and pediatric intensive care units, nurseries, and even homes. The company is developing sound-based medical diagnostic software, powered by signal processing and machine learning. They are developing the first technology for rapidly detecting neurological conditions in infants using only their cry sounds.
