More sensitive technology spurs proteomic and metabolomic biomarker identification, clinical use. (Complete article on page 21)
More sensitive technology spurs proteomic and metabolomic biomarker identification, clinical use. (Complete article on page 21)
The past few years have seen several flashy demonstrations of how artificial intelligence (AI) algorithms may transform biomedical research, particularly with respect to drug discovery.
Metabolomics—often referred to as the youngest of the omics—provides key insight into phenotype. However, bulk metabolomics requires the homogenization of the sample and is thus unable to discern metabolic differences at a cellular level.
Precision medicine is poised to transform healthcare, with biobanks being identified as a key enabler to bring it to fruition by 2030 by putting new, extended datasets at the disposal of pharmaceutical researchers and healthcare professionals. — by Marilyn Matz