[HTML][HTML] Machine learning in nutrition research
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
processed and distributed by milk banks. The macronutrient content of donor milk is critical …