How AI could help optimize nutrient consistency in donated human breast 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.
The researchers introduce their data-driven optimization model in a new paper published in Manufacturing and Systems Operations Management.
Chan and his team worked with Mount Sinai Hospital’s Rogers Hixon Ontario Human Milk Bank — which provides donor milk to preterm and sick babies who are hospitalized across Ontario — as well as Dr. Debbie O’Connor, a professor at the Temerty ...












