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Danone Nutricia’s Digital Laboratory will provide tailored nutritional solutions to parents in Singapore

Danone Nutricia’s Digital Laboratory will provide tailored nutritional solutions to parents in Singapore


Danone Nutricia’s Digital Laboratory will provide tailored nutritional solutions to parents in Singapore

Mr Dalvir Singh (Head of Consumer Businesses, Singapore Economic Development Board), Mr Jean Marc Magnaudet (President Asia Pacific and Middle East, Danone Specialised Nutrition), Miss Florence Jeantet (VP, Growth through Innovation, Danone Nutricia Early Life Nutrition), Miss Rocio Martin (Director, Danone Nutricia Research Singapore), Miss Katrien Van Laere (VP Research & Innovation, Danone Nutricia Research) - Photo Credit: Danone

Danone Nutricia Research inaugurated its new Precision Nutrition D-Lab at Biopolis Singapore on 14 March 2018. The lab will be a global hub of innovation, using advanced digital technology to provide tailored nutritional care in early life. Through the D-Lab, Danone Nutricia Research hopes to play a more meaningful role in the provision of innovative healthcare solutions.

The newly established Precision Nutrition D-Lab is equipped with digital-enabled data collection tools and data analytics to strengthen its position in pioneering research and innovation in early life nutrition. It will be developing real-life, self-service tools that capture and analyse parenting data and advise parents and healthcare professionals, which include:

  • A device that records and analyses baby cries 24/7 to provide feedback for parents and healthcare professionals to better determine the concern of crying.
  • An app that measures baby stool consistency and help parents gain insights on their baby’s gut function and development.
  • An app that scores baby skin symptom and provides advice to parents and healthcare professionals.
  • Artificial Intelligence conversational tool that addresses concerns and uncertainties of parents and to gather data around parental feelings.

The D-Lab adopts a multi-disciplinary approach that combines data science and machine learning to help generate insights on early life nutrition. These insights enable researchers to discover new biological mechanisms, predict the risks of certain diseases and eventually drive nutritional solutions for the long-term health of individuals. 

Press Release

14 March 2018

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