A multidisciplinary team has taken a step forward in the field of precision medicine with the publication of a study that highlights the value of integrating multiple layers of biological information—genomic, metabolomic, and lipoproteomic—to identify individuals with underlying molecular risk despite being apparently healthy and without relevant clinical manifestations.
Multi-omic data can identify silent and stable risk profiles in healthy individuals
