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The approach is able to look at structure and function across large numbers of proteins, adding data beyond traditional expression-based measurements.
Working with ETH Zurich researchers, the firm has incorporated machine learning to improve the platform's performance in complex organisms like humans.
The company is working with German informatics firm MSAID to incorporate deep learning into mass spec analysis and with Biognosys on tools for quantitative work.
With new instruments and workflows able to quantify thousands of proteins in as little as five minutes, 2019 was the year proteomics cracked its throughput problem.
Biognosys will use its mass spectrometry technology to profile the proteome and phosphoproteome of clinical samples in Indivumed's oncology database.
While the approach lost some of its luster after failing to deliver on early hype, technological improvements are revitalizing interest among researchers.
The company announced the collaborations this week in conjunction with the annual American Society for Mass Spectrometry Conference in Atlanta.
Roche ran a mock clinical trial in which it used DIA mass spec and targeted proteomics to profile 30 colorectal cancer samples under GCP conditions.
The group's meeting this week evidenced the ongoing shift towards analyzing proteins in the context of specific isoforms, complexes, and cells.
The recent agreement between Freenome and Biognosys suggests a role for proteomics as developers of genomic-based cancer detection tests look beyond ctDNA.
The Wall Street Journal reports on gaps in COVID-19 testing affecting less affluent urban areas and rural locations.
According to NBC News, new SARS-CoV-2 variants are making it harder for researchers to model the course of the pandemic.
The New York Times reports that experts say President Joe Biden's goal of vaccinating 1 million people a day in the US in the next 100 days is too low a bar.
In Science this week: single-cell lineage tracing technique applied to study lung cancer metastasis, and more.