Billionaire doctor Patrick Soon-Shiong plans to install a supercomputer at the Phoenix Childrens Hospital that will help doctors fully sequence and analyze patient genomes in seven days, and help build a database of genetic information that could help treat childhood disease.
A Stanford study found that producing accurate genome analysis is still best left to medical professionals and complete, reliable results from an off-the-shelf test are currently not possible.
San Diego-based Illumina revealed a $1 million machine today that can sequence tens of thousands of genomes each year.
There’s no shortage of great minds using big data techniques to improve the quality of our medical treatments, but sometimes they can’t get access to the data they need most. Improving access to genetic data, for example, might just help cure cancer.
Online genealogy service Ancestry.com is trying to become like the Amazon or Netflix of family trees. Much like those companies use customer data to recommend products or movies customers might like, Ancestry.com is using machine learning to make learning about ancestors a lot less work.
