The study is enrolling up to 2,000 patients at 10 US medical centers and using omics approaches to profile their immune response over the course of a year.
Researchers used a high-throughput proteomic platform to find patterns of protein expression that could identify patients at risk of developing severe infections.
The firm is one of several groups taking a machine learning approach, which it said will enable lower-cost, faster, and more complete proteomic analyses.
A professor of pathology and laboratory medicine, Gregory Tsongalis has published a paper detailing his lab's work on SARS-CoV-2 testing and the challenges faced.
The company uses a combination of transcriptomic and proteomic data combined with machine-learning analysis to identify immune profiles linked to disease.
