Data mining has both a positive and a negative connotation. The negative connotation applies when a pivotal trial fails and the sponsor looks around for a way to salvage the clinical program without having to run a new trial. This is what a great many biotech companies do all the time. It hardly ever fools the FDA but it sometimes fools investors long enough to prevent a total collapse of the stock price.
The positive connotation of data mining is examining clinical data from various angles to form a hypothesis for further testing. This is exactly what Leo and GTC have done in their DIC program.
“The efficient-market hypothesis may be the foremost piece of B.S. ever promulgated in any area of human knowledge!”
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