Single-cell technologies have positioned themselves at the forefront of biomedical research. These platforms allow researchers to bypass the uncertainties of bulk data and instead interrogate biological systems at a level of detail that was previously unreachable. by Ruairi J MacKenzie
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.
Paradigm4 has launched the Precision Cell AtlasTM as an integral component of its REVEALTM: SingleCell app. The Precision Cell Atlas enables scientists to create a custom cell atlas by selectively combining an unlimited number of samples from multiple datasets for specific research objectives and explicitly saving them for collaboration, reuse,
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.
