Life science researchers and drug discovery scientists today work in what, in my view, will be remembered in the future as the beginning of a “golden era” where the power of genetic information is connected to a wide range of other healthcare and lifestyle data to support better understanding of disease etiology
Calculating the true value of scientific data storage platforms is the goal of every developer. With millions of cells to analyze, digital solutions are the key
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.
