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
Over the past 5 decades or so, the growing understanding that RNA can influence protein function through routes other than direct translation has opened the prospect of discovering small molecules for tackling diseases in novel ways.
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.
