dc.contributor.advisor	Baranyi, József
dc.contributor.advisor	Müller, Katalin
dc.contributor.author	Lopes Martins, Mayara
dc.contributor.submitterdep	Általános Orvostudományi Kar
dc.date.accessioned	2024-05-24T06:41:27Z
dc.date.available	2024-05-24T06:41:27Z
dc.date.defended	2024-06-19
dc.date.issued	2023
dc.description.abstract	In 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.extent	68
dc.identifier.uri	https://hdl.handle.net/2437/370239
dc.language.iso	en
dc.subject	Food composition
dc.subject	Food database
dc.subject	Computational nutrition
dc.subject	Data science
dc.subject	Human milk
dc.subject	Big Data
dc.title	Development and application of a new food composition database to reveal patterns of human milk composition
dc.title.translated	Development and application of a new food composition database to reveal patterns of human milk composition
dc.type	PhD, doktori értekezés	hu

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

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