Summary: Researchers developed a machine learning algorithm, FoodProX, capable of predicting the degree of processing in food products.
The tool scores foods on a scale from zero (minimally or unprocessed) to 100 (highly ultra-processed). FoodProX bridges gaps in existing nutrient databases, providing higher resolution analysis of processed foods.
This development is a significant advancement for researchers examining the health impacts of processed foods.
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