AI maps 991 aromatic plants, identifies scent compounds that may improve sleep
Food scientists at the National University of Singapore (NUS) have used machine learning to sift through more than 2,300 scent molecules from aromatic plants and identify compounds with sleep-promoting potential, an approach that could accelerate the discovery of natural sleep aids.
Image: Phys.org
Food scientists at the National University of Singapore (NUS) have used machine learning to sift through more than 2,300 scent molecules from aromatic plants and identify compounds with sleep-promoting potential, an approach that could accelerate the discovery of natural sleep aids.
Originally published at Phys.org
