Nicolas Anctil

Metabolomic fingerprinting from dried blood spots enables individual identification across 1,257 participants at 94% user-level accuracy

Abstract Background Constructing digital twins in healthcare requires biological data sources that are simultaneously informative, dynamic, and practical for routine collection. Dried blood spot (DBS) sampling combined with untargeted metabolomics is well suited to meet these req...