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) ...

Enterprises that wish to remain relevant in their respective markets are embracing big data, including its benefits and challenges. Data integration plays a key role in big data as it allows ...

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 ...

AI and data integration are no longer siloed entities; they are dynamic forces converging to reshape industries. AI, with its ability to analyze vast datasets and derive actionable insights, can ...

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 ...

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 ...

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 ...

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 ...