3-D tumor models improve drug discovery success rate
Friday, July 20, 2012 - 15:00
in Health & Medicine
Imagine millions of cancer cells organized in thousands of small divots. Hit these cells with drugs and when some cells die, you have a candidate for a cancer drug. But a new review argues that these 2-D models in fact offer very little information about a potential drug's effects in the body and may often give researchers misleading results.