“Dirty data” and precision medicine make news
This week’s articles include: dirty data wanted for research; a blockchain distributed database might be viable for management of decentralized data; a three-modality molecular imaging system can detect certain types of atherosclerotic plaque that are more prone to rupture; technology leaders rate the state of precision medicine as a three on a scale of one to 10; and a new NIH precision medicine program wants 1 million plus participants to donate data as part of a genomics initiative.
Wanted: more data, the dirtier the better – Scientific American
Purvesh Khatri, a computational immunologist at Stanford University, has adopted a new approach to genomic discovery that calls for scouring public repositories for data collected at different hospitals on different populations with different methods. If a signal sticks around despite the heterogeneity of the samples, you can bet you’ve actually found something, according to Khatri. Continue reading