Chemical formulas are at the center of multiple scientific frontiers: researchers are using deep learning to predict molecular structures from mass spectra, scientists are detecting persistent synthetic chemicals in baby formula, and chemists continue developing advanced analysis methods for identifying unknown compounds.
·Deep learning models now predict chemical formulas from tandem mass spectra data with improved accuracy
·FDA findings on forever chemicals in infant formula prompt scientific scrutiny of potential health impacts
·Machine learning combined with text mining enables faster prediction of molecular properties like emission wavelengths
·Standardized nontargeted analysis methods improve formula assignment and structural annotation of unknown substances
drawn from Nature, The Independent, Orange County Register, STAT · updated 2d ago