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<p>A team of University of Toronto Engineering researchers, led by Professor&nbsp;<a href="https://discover.research.utoronto.ca/13303-timothy-chan/"><strong>Timothy Chan</strong></a>, is leveraging machine learning to optimize the macronutrient content of pooled human donor milk recipes.&nbsp;The researchers introduce their data-driven optimization model in a&nbsp;<a href="https://pubsonline.informs.org/doi/full/10.1287/msom.2022.0455">new paper published</a>&nbsp;in&nbsp;<em>Manufacturing and Systems Oper...

Lab-Grown Human Heart Could Help Better Understand Cardiovascular Diseases and Potential Treatments - Industry Tap

An international team of researchers, led by University of Toronto Engineering Professor Yu Zou, is using electric fields to control the motion of material defects. This work has important implications for improving the properties and manufacturing processes of typically brittle ionic and covalent crystals, including semiconductors — a crystalline material that is a central component of electronic chips used for computers and other modern devices.

Researchers at University of Toronto Engineering have developed a multi-layered fluidic system claimed to reduce the energy costs of HVAC and lighting in buildings by optimising the wavelength, intensity and dispersion of light.