Artificial intelligence for personalized multiple micronutrient supplementation in maternal health

Journal article

Maternal undernutrition and micronutrient deficiencies remain pervasive, contributing to adverse pregnancy outcomes and long‐term health risks for mothers and offspring. Multiple micronutrient supplementation (MMS) during pregnancy has demonstrated benefits, including reduced risks of low birth weight, small‐for‐gestational‐age births, and neonatal mortality, when compared with standard iron–folic acid supplementation. Current MMS strategies, however, often follow a standard MMS, overlooking ...

Expand abstract

Authors: Davis Jones, G; Papageorghiou, AT; Shehata, H; Divakar, H; Van der Beek, EM

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Wiley
• Journal: International Journal of Gynecology & Obstetrics
• Publication date: 2026-02-26
• Acceptance date: 2026-02-06
• DOI: 10.1002/ijgo.70911
• EISSN: 1879-3479
• ISSN: 0020-7292
• Language: English
• Keywords: nutritional digital twin; personalized nutrition; low‐ and middle‐income countries; artificial intelligence; maternal nutrition; digital maternal health; risk stratification; multiple micronutrient supplementation