Milk Composition Is Predictive of Low Milk Supply Using Machine Learning Approaches

Home
>
Publications
>
Milk Composition Is Predictive of Low Milk Supply Using Machine Learning Approaches

Milk Composition Is Predictive of Low Milk Supply Using Machine Learning Approaches

Author(s): Xuehua Jin, Ching Tat Lai, Sharon L. Perrella, Xiaojie Zhou, Ghulam Mubashar Hassan, Jacki L. McEachran, Zoya Gridneva, Nicolas L. Taylor, Mary E. Wlodek and Donna T. Geddes Journal: Diagnostics
Year: Jan, 2025

Acknowledgement of Traditional Owners

The Geddes Hartmann Human Lactation Group acknowledges the Whadjuk Noongar people as the traditional owners of the land on which our research group is situated. The Whadjuk Noongar remain the spiritual and cultural custodians of their land, and continue to practise their value, languages, beliefs and knowledge.

Latest Publication

Concentrations of Selected Human Milk Components Influence the Infant Oral Microbiome to a Greater Degree than Estimated Intakes

Contact Details

Phone +61 8 6488 2988
Email hhlrg-sms@uwa.edu.au
The University of Western Australia
35 Stirling Highway M310 SMS
Crawley Western Australia 6009