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Evidence for human milk as a biological system and recommendations for study design—a report from “Breastmilk Ecology: Genesis of Infant Nutrition (BEGIN)” Working Group 4

, , , , , , , , , , and . The American Journal of Clinical Nutrition, (2023)

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Deleterious and Protective Psychosocial and Stress-Related Factors Predict Risk of Spontaneous Preterm Birth, , , , , , , , , and 3 other author(s). American journal of perinatology, (May 2021)Evidence for human milk as a biological system and recommendations for study design—a report from “Breastmilk Ecology: Genesis of Infant Nutrition (BEGIN)” Working Group 4, , , , , , , , , and 1 other author(s). The American Journal of Clinical Nutrition, (2023)Dynamic Positioning Based on Voronoi Cells (DPVC)., , , , , , , , , and . RoboCup, volume 4020 of Lecture Notes in Computer Science, page 219-229. Springer, (2005)Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity., , , , , , , , , and 11 other author(s). npj Digit. Medicine, (2023)VoPo leverages cellular heterogeneity for predictive modeling of single-cell data, , , , , , , , , and 20 other author(s). Nature Communications, 11 (1): 3738-- (2020)Risk assessment analysis for maternal autoantibody-related autism (MAR-ASD): a subtype of autism, , , , , and . Molecular Psychiatry, (2021)Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries, , , , , , , , , and 47 other author(s). Science Advances, 9 (21): eade7692 (2023)Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy., , , , , , , , , and 33 other author(s). Bioinform., 35 (1): 95-103 (2019)Session Introduction., , and . PSB, page 557-563. (2017)Data-Driven Modeling of Pregnancy-Related Complications, , , , , , , , , and 7 other author(s). Trends in Molecular Medicine, (2021)