Machine Learning: Impact on precision medicine
Technology presently has the ability to bring the promise of genomics and precision medicine directly into the clinical work process, while establishing a foundation for trial and research. This enables the business to apply new genomic data models in a sensible way — to deliver the right information to the supplier at the opportune time, while creating "research-ready" data to support a variety of objectives. This can transform the way we care for a wide range of diseases and conditions – from cancer to hyperlipidemia to diabetes to renal disease to neurodevelopmental disorders. The ultimate goal is to drive better and more accurate diagnoses, treatments and outcomes — while simultaneously making this knowledge available for research and pharmacogenomics. Machine learning is additionally engaging us to examine patient data at a level never possible. We can now transform data into insights and significant data. Simply think how a "data lake,"...