Nikolina Lauc, CEO of Glycanage, believes that we will need to focus on multiomics to improve aging clocks. Multiomics describes a data collection process in which multiple domains of diagnostics are collected simultaneously – such as the genome, glycome, proteome, etc. Glycanage stumbled across a correlation between glycosylation phenotypes and age, and they have begun to investigate how that ties into diet and exercise. They created an aging clock – a correlation between biomarkers and chronological age – using glycosylation data. As they investigated the relationships further, they realized they need to structure their data with other aging clocks to produce something that can lead to useful therapies. Nikolina is willing to contribute glycosylation data to such an effort.