Improving Artificial Intelligence-derived Algorithms for Estimating Length and Weight in NEonateS and infanTs up to 6 Months of Age (NEST)
Recruiting
Observational Study
GrowthNeonatesAI (Artificial Intelligence)
No Placebo Group
Every participant receives an active treatment — no one gets a placebo.
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
Ready to participate?
Review the details below, then apply to join this clinical trial.
At a Glance
Age
0 Days – 6 Months
Sex
Any
Study type
Observational
Participants needed
60 (estimated)
Sponsor
Danone Asia Pacific Holdings Pte, Ltd. · Industry
Who this trial is looking for
This trial is looking for infants from birth to 6 months old who are in the NICU or SCN. Participants will have their length, weight, and head size measured using AI tools that analyze photos and videos taken during their care.
Are You a Good Fit for This Trial?
You may be able to join if
I am an infant from birth up to 6 months old.
I am in the NICU or SCN when I am screened.
I can understand the study information and give consent.
My parents are willing to let my photos and videos be taken.
My parents agree to share my blood test results.
You may not be able to join if
I was born before 28 weeks of gestation.
I am intubated at the time of screening.
I have a medical condition that affects length or head size measurement.
The investigator thinks I am not suitable for the study.
I am a child or relative of a Danone employee.
Summarized in plain language from this trial's official eligibility criteria.
The full criteria are further down this page — only the research team can
confirm whether you qualify.
Think this trial could be right for you?
Answer a few quick questions to see if you may meet the eligibility requirements.
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, …
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.
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Eligibility Criteria
Inclusion Criteria:
1. Infants up from birth up to 6 months of postnatal age (including neonates) who have been admitted to the NICU or SCN at the time of screening
2. Parent(s) should be able to comprehend the content of the study and be willing for their child to undergo video and photo recording…
Inclusion Criteria:
1. Infants up from birth up to 6 months of postnatal age (including neonates) who have been admitted to the NICU or SCN at the time of screening
2. Parent(s) should be able to comprehend the content of the study and be willing for their child to undergo video and photo recording, and to allow access to their blood sampling results (haemoglobin) taken as part of standard clinical practice
3. Written consent from parents and/or legally acceptable representative
Exclusion Criteria:
1. Infants who were born with gestational age of less than 28 weeks of gestational age
2. Infants who are intubated (i.e., endotracheal, nasotracheal intubation) at the time of screening
3. The investigator considers for any reason that the participant would not be suitable for the study
4. The participant has an existing medical condition that would prevent standardised measurement of length and/or head circumference e.g. structural abnormality of the lower limbs, orthopaedic conditions, hydrocephalus
5. Employees and/or children/family members or relatives of employees of Danone Global Research \& Innovation Center, Danone Asia Pacific Holdings Pte Ltd, or the participating site
Contacts
Amilia Sng, Senior Digital Health R&I Study Manager, MSc Pharmacology
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