In a recent study posted to the bioRxiv* preprint server, researchers developed and elucidated a ‘bridge integration’ method to harmonize single-cell ribonucleic acid (RNA) sequencing (scRNA-seq) ...
Technologies for analyzing proteome, metabolome, transcriptome, and epigenome data at both spatial and single-cell levels have come a long way. Taken together, these methods provide a holistic view of ...
Even as bioprocessors collect ever more data and analyze it with AI-based methods, the industry continues to face a crucial hurdle—data integration. “In most industrial biotech companies or CDMOs with ...
Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...
This data integration tools list features some of the best-known and most powerful applications. Learn more about the top data integration tools now. Today’s businesses regularly interact with data ...
In today’s hyperconnected world, the average enterprise juggles more than a 1,000 applications—a number projected to increase dramatically as innovation accelerates. Research firm IDC estimates that 1 ...
Artificial intelligence (AI) is now woven into nearly every enterprise technology stack. Salesforce, SAP, Microsoft and others position AI as central to their platforms, while boards press executives ...
Data integration vs. data ingestion: What are the differences? Your email has been sent With the increasing amount of data being produced, businesses need better ways to handle and use the information ...
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