Untargeted Blood Metabolomics for Disease Diagnosis–Difficulties and Opportunities
There are hundreds of papers showing that researchers can differentiate between sick and healthy people by measuring the metabolites in blood (metabolomics). However, most studies are hampered by small sample sizes. This is because metabolomics is expensive, combining datasets from multiple groups studying the same disease is difficult, and the field is just beginning to adopt openly accessible data as the standard. In this talk, I will share a few naive approaches to reduce cost and enable the combination of datasets from different labs.