AI Screened 50 Million Chemicals for Sugar Substitutes

Researchers at the Hebrew University of Jerusalem used machine learning and molecular modeling to screen about 50.7 million molecules for new sugar substitutes without the bitter or metallic aftertaste of existing sweeteners, narrowing the pool to 92 promising candidates. The work was published in Food Chemistry, but the candidates are still computational predictions that need laboratory experiments to confirm.