Actively Recruiting
Improving Artificial Intelligence-derived Algorithms for Estimating Length and Weight in NEonateS and infanTs up to 6 Months of Age (NEST)
Led by Danone Asia Pacific Holdings Pte, Ltd. · Updated on 2026-04-13
60
Participants Needed
1
Research Sites
27 weeks
Total Duration
On this page
Sponsors
D
Danone Asia Pacific Holdings Pte, Ltd.
Lead Sponsor
K
KK Women's and Children's Hospital
Collaborating Sponsor
AI-Summary
What this Trial Is About
The NEST study is a prospective, observational research study designed to collect clinical measurements and image data to develop and evaluate artificial intelligence (AI)-derived algorithms for estimating anthropometric parameters in neonates and young infants. The study focuses on infants from birth up to 6 months of age and aims to assess the accuracy of AI-based estimations of length, weight, and head circumference using photographs and/or video recordings captured during routine clinical care. These AI-derived measurements will be compared against standard clinical measurements obtained by trained healthcare professionals in neonatal and infant care settings.
CONDITIONS
Official Title
Improving Artificial Intelligence-derived Algorithms for Estimating Length and Weight in NEonateS and infanTs up to 6 Months of Age (NEST)
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Infants from birth up to 6 months old admitted to the NICU or SCN at screening
- Parent(s) able to understand the study and agree to video and photo recording
- Parent(s) provide written consent for their child to participate
You will not qualify if you...
- Infants born before 28 weeks of gestational age
- Infants who are intubated at the time of screening
- Investigator considers the infant unsuitable for the study
- Medical conditions preventing standardized length or head circumference measurement, such as limb abnormalities or hydrocephalus
- Employees or family members of employees of Danone Global Research & Innovation Center, Danone Asia Pacific Holdings, or the study site
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
KK Women's and Children's Hospital
Singapore, Singapore
Actively Recruiting
Research Team
A
Amilia Sng, Senior Digital Health R&I Study Manager, MSc Pharmacology
CONTACT
K
Kimberley Tan, Clinical Research Associate, BSc
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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