[HTML][HTML] Machine learning in nutrition research

D Kirk, E Kok, M Tufano, B Tekinerdogan… - Advances in …, 2022 - Elsevier
Data currently generated in the field of nutrition are becoming increasingly complex and
high-dimensional, bringing with them new methods of data analysis. The characteristics of …

Using machine learning to impact on long-term clinical care: principles, challenges, and practicalities

JJ Ashton, A Young, MJ Johnson, RM Beattie - Pediatric Research, 2023 - nature.com
The rise of machine learning in healthcare has significant implications for paediatrics. Long-
term conditions with significant disease heterogeneity comprise large portions of the routine …

Got (optimal) milk? Pooling donations in human milk banks with machine learning and optimization

TCY Chan, R Mahmood, DL O'Connor… - Manufacturing & …, 2023 - pubsonline.informs.org
Problem definition: Human donor milk provides critical nutrition for millions of infants who
are born preterm each year. Donor milk is collected, processed, and distributed by milk …

Fortified donor human milk frequently does not meet sodium recommendations for the preterm infant

MT Perrin, LL Friend, PM Sisk - The Journal of Pediatrics, 2022 - Elsevier
We measured the sodium content of donor human milk (DHM) and calculated the estimated
intake at a feeding volume of 160 mL/kg/day. The mean sodium content of unfortified DHM …

Personalized Nutrition with Banked Human Milk for Early Gut Microbiota Development: In Pursuit of the Perfect Match

E Hick, M Suárez, A Rey, L Mantecón, N Fernández… - Nutrients, 2024 - mdpi.com
The correct initial colonization and establishment of the gut microbiota during the early
stages of life is a key step, with long-lasting consequences throughout the entire lifespan of …

Nutritional Strategies for Preterm Neonates and Preterm Neonates Undergoing Surgery: New Insights for Practice and Wrong Beliefs to Uproot

DU De Rose, A Lapillonne, S Iacobelli, I Capolupo… - Nutrients, 2024 - mdpi.com
The nutrition of preterm infants remains contaminated by wrong beliefs that reflect
inexactitudes and perpetuate old practices. In this narrative review, we report current …

Artificial intelligence applied to the study of human milk and breastfeeding: a scoping review

S Agudelo-Pérez, D Botero-Rosas… - International …, 2024 - Springer
Breastfeeding rates remain below the globally recommended levels, a situation associated
with higher infant and neonatal mortality rates. The implementation of artificial intelligence …

Nutrition strategies to prevent short-term adverse outcomes in preterm neonates

S Rodriguez, D de la Cruz, J Neu - BMJ Nutrition, Prevention & …, 2024 - nutrition.bmj.com
With preterm neonates surviving earlier gestational ages, comorbidities such as
bronchopulmonary dysplasia, retinopathy of prematurity, delayed neuronal development …

Pooling Donations in Human Milk Banks using Machine Learning and Optimization

R Wong - 2023 - search.proquest.com
Human milk is considered the ideal nutrition for preterm infants. Donor milk is collected,
processed and distributed by milk banks. The macronutrient content of donor milk is critical …