Integrated Data Analytics Use Cases

The analytics of massive biomedical data is challenging and hasn’t yet delivered on many possibilities in enhancing discovery and diagnosis. However, if we have relevant data type specific preprocessing which allows us to then bring together multiple data types appropriately, such as medical imaging, genomics, and HER data, then the added information makes our models stronger and more effective, whether it is for discovery research or diagnostics. Here we present two powerful examples of data combinations that have shown significant improvements when compared with the analytics of one data type only.