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)
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.
Peptides play important roles in human physiology. They present as intact peptides or can arise from protein degradation. Regardless of the source, peptidomics—the characterization of intact peptides in a biological sample—is fast emerging as an approach to uncover another layer in human health and disease.
Marilyn Matz, CEO of Paradigm4, and Zachary Pitluk, Vice President of Life Sciences at Paradigm4, explain why scalable data science platforms are key to supporting integrated analysis of single-cell genomic data sets.