Our Research
How AI is being used to optimize the macronutrient content of pooled human donor milk
A team of University of Toronto Engineering researchers, led by Professor Timothy Chan, is leveraging machine learning to optimize the macronutrient content of pooled human donor milk recipes. Read more.
Ongoing research hopes to optimize the quality of donor human milk by improving pasteurization methods
Human milk is widely considered the gold standard for feeding infants. Its properties are especially important for infants born preterm, not only for nutritional value, but for growth, neurodevelopment, and protection against infection. Milk donated to the Rogers...