GIVING HOPE TO NEWBORNS

Ubenwa analyses a baby’s cry to detect early signs of anomalies which could be fatal such as asphyxia or brain-injury.

  • Ubenwa App screenshots
  • Ubenwa App screenshots
  • Ubenwa App screenshots
  • Ubenwa App screenshots
  • Ubenwa App screenshots
  • Ubenwa App screenshots
  • Ubenwa App screenshots
  • Ubenwa App screenshots

Overview


Diagnosis

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.


Prognosis

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.


Translation

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

The Challenge:

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.
ubenwa illustration

What we are doing:

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.

Awards


IAS Pharma Excellence Awards 2020
MIT Solve + Health workforce innovation prize (ABCPC) + AI for Humanity (PJMF) 2020
CLIC Top 5 finalists 2020
Quebec Science, Invention of the year 2020
World Health Organisation (WHO): Top 30 African Health Innovations of 2019
IBM AI XPrize Competition: Top 30 Teams 2019
Ministère d’Économie et d’Innovation du Québec: Recipient of Projet d’Innovation 2018
UN ITU Telecom 2017
McGill Dobson Cup Finalist 2016
NVIDIA Best Paper Award, Machine learning for healthcare workshop 2015

Latest Stories

  • January 2021

    A Review of 2020

    A blog post reflecting on some interesting highlights of the year 2020 and our focus for 2021

  • January 2020

    A Review of 2019

    A blog post reflecting on some interesting highlights of the year 2019 and our focus for 2020

  • March 2019

    WHO Top 30 Africa Health Innovators

    Ubenwa was recognized by the World Health Organisation as one of top 30 healthcare innovators in Africa.

  • January 2019

    A Review of 2018

    A blog post reflecting on the team's challenges and accomplishments of 2018, and providing a window into what is to come in 2019.

  • December, 2018

    Top 30 Teams in AI XPrize

    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]

Partners


Media Mentions





Contact Us

Keep in touch! If you would like to receive occasional updates

hello {at} ubenwa.com

Canada

6666 St Urbain St #200,
Montreal, QC H2S 3H1

Nigeria

Maryland Mall 350/360 Ikorodu Road
Lagos