Is Technology Helping Innovation in the Life Sciences?

There are several different dynamics shaping this trend, but at the most simplisitic level, think about it as two key trends converging. As the cost of sequencing a genum has fallen just a few hundred dollars, and that allows us to build rich data sets with genatics by marker clinical data across really large populations. The other high contet biological data types that we're able to add to this things like epigenomics and proteomics, allows us to further deepen our understanding in the context of studying different diseases. And ultimately, this enables us to train computers to actually predict things based on analyzing these very large and complex data sets. These algorithms can be used for these analyses, and they