Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

High-throughput screening (HTS) and multi-omics technologies have each transformed drug discovery independently; their integration represents the next evolution in how laboratories move from compound ...

A major new review article led by researchers from the School of Mathematics at Harbin Institute of Technology has just been published in Quantitative Biology, offering a comprehensive comparison of ...

Real world data is transforming clinical research, augmenting existing randomized controlled trial data to reduce risks and improve generalizability. With regulators setting clearer standards for ...

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 ...

An emerging class of data fabrics promises to help automate data integration with and for AI. Bharath Thota, a partner in the Digital & Analytics Practice at Kearney, argues that it might help to ...

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...

In seeking the opinions of more than 500,000 clinicians on electronic health record interoperability, KLAS Arch Collaborative researchers learned that external integration was reported to be the worst ...

While data integration is seemingly a natural fit for cloud giants' computing platforms, the cloud lags in the data integration market, which is being hugely transformed by artificial intelligence.