Development and application of a new food composition database to reveal patterns of human milk composition

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dc.contributor.advisorBaranyi, József
dc.contributor.advisorMüller, Katalin
dc.contributor.authorLopes Martins, Mayara
dc.contributor.submitterdepÁltalános Orvostudományi Kar
dc.date.accessioned2024-05-24T06:41:27Z
dc.date.available2024-05-24T06:41:27Z
dc.date.created2023
dc.date.defended2024-06-19
dc.description.abstractIn the crucial early phase of infancy, nutrition profoundly shapes offspring health and development, emphasizing the importance of human milk (HM) in the first 1,000 days of life. HM offers a unique composition rich in bioactive components crucial for infant growth and immunity. However, our understanding of HM composition remains fragmented due to methodological limitations and a lack of comprehensive data frameworks. Existing research often focuses on isolated factors within the mother-milk-infant triad, hindering a holistic understanding. To address this gap, we propose the establishment of a standardized database capable of capturing the dynamic nature of HM composition while integrating maternal, infant, and methodological variables. Such a database would enable researchers to explore the intricate interplay of factors influencing HM composition.
dc.format.extent68
dc.identifier.urihttps://hdl.handle.net/2437/370239
dc.language.isoen
dc.subjectFood composition
dc.subjectFood database
dc.subjectComputational nutrition
dc.subjectData science
dc.subjectHuman milk
dc.subjectBig Data
dc.titleDevelopment and application of a new food composition database to reveal patterns of human milk composition
dc.title.translatedDevelopment and application of a new food composition database to reveal patterns of human milk composition
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