Advances in artificial intelligence and precision nutrition approaches to improve maternal and child health in low resource settings.

Journal: Nature communications
Published Date: Aug 18, 2025

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.

Authors

  • Saurabh Mehta
    Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States.
  • Samantha L Huey
    Cornell Joan Klein Jacobs Center for Precision Nutrition and Health, Cornell University, Ithaca, New York, USA.
  • Shah Mohammad Fahim
    Nutrition and Clinical Services Division, International Center for Diarrheal Disease and Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
  • Srishti Sinha
    Cornell Joan Klein Jacobs Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, USA.
  • Kripa Rajagopalan
    Cornell Joan Klein Jacobs Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, USA.
  • Tahmeed Ahmed
    Nutrition and Clinical Services Division, International Center for Diarrheal Disease and Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
  • Rob Knight
    Department of Pediatrics, University of California, San Diego School of Medicine, La Jolla, CA 92093, USA; Center for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, La Jolla, CA 92093, USA; Department of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, CA 92093, USA.
  • Julia L Finkelstein
    Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals