Advances in artificial intelligence and precision nutrition approaches to improve maternal and child health in low resource settings
Year: 2025
Type: review
Abstract: Malnutrition continues to be a major threat to health, particularly maternal and child health in low resource settings, resulting in impairments in cognitive function, growth, and development, and metabolic diseases later in life. Nutritional assessment is a cornerstone of any successful nutrition intervention or program whether in the community or at the clinic. Improved computational power and advances in technology may enable precision nutrition-based approaches for maternal and child health, which can complement current methods for nutritional assessment to identify clinical, biochemical, microbiome-related, social, and environmental characteristics to predict responses to nutritional interventions or programs. Precision nutrition has the potential to complement program monitoring, efficacy evaluation, and ultimately to inform design of interventions to improve maternal and child health. Novel technologies including AI are becoming widely available and transforming healthcare and precision medicine. In this Perspective, the authors discuss how some of these technologies and innovations can help advance maternal and child health by complementing existing methods and enabling nutritional assessment on a larger scale and at an affordable cost in low-resource settings.
Source: Nature Communications
Language: English
Subfield: Nutrition and Dietetics
Field: Nursing
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $6,990
Awards: Precision Medicine Initiative Cohort Program Biobank, PTSC 2.0, All of Us Research Program Data and Research Center, The Louisiana Clinical Center of Nutrition for Precision Health (LA-NPH), Metabolomics and Clinical Assays Center, California Partnership for Personalized Nutrition, Clinical Center for NIH's Nutrition for Precision Health: The All Of Us New England Research Collaborative, UAB Precision Nutrition Clinical Center, Nutrition Precision Health for All of Us (Chicago Center), Traditional and New Dietary Assessment Methods (TANDAM) for Personalized Nutrition, Nutrition for Precision Health: The University of North Carolina at Chapel Hill Clinical Center, The UCSD Microbiome and Metagenomics Center, Nutrition for Precision Health, powered by the All of Us Research Program: Research Coordinating Center, TRAINING IN MATERNAL AND CHILD NUTRITION, Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and Systems (AIMINGS) Center
OpenAlex ID: W4413287184