Practical utility in clinical settings
Studies in the pursuit of personalized medicine have largely focused on biomarker identification methods which are costly, time- and labor-intensive. For example, cluster analysis of functional magnetic resonance imaging datasets has contributed to the identification of brain-based, mechanistically derived subgroups in clinical populations—e.g. clusters exhibiting distinct functional connectivity in particular brain networks in people with schizophrenia