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
Advances in the single-cell genomic analysis of cells and tissues, including the required computational methods, have now put systematic, high-resolution and comprehensive reference maps of all human cells within our reach. Paradigm4’s Marilyn Matz, CEO and cofounder, and Dr Zachary Pitluk, VP of Life Sciences and Healthcare, report
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.
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.
