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)
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. But the value of these systems risks being impaired by bottlenecks in data analysis
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.
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