Return of QuanDyn(TM)
What is it about?
This is the second publication on our method for rapidly characterizing the sensitivity of a body part to a drug using imaging. It is a reanalysis, using an improved method, of simulated data and of a limited set of real-life data.
Why is it important?
Scientists often measure how sensitive a body part is to a medicine. The usual way is to get a bunch of people (or rats or yeast), and give a few of them (say) 1/10 of a pill, a few 2/10, a few 5/10, a few 1 pill, and so on up to maybe 10 pills. Plus you have to give some of them an empty pill with no medicine. Then you measure the response from each person (or rat or test tube), and turn the results into a graph called a dose-response curve. The problems come when you want to do that in live people. To calibrate the dose-response curve, you have to give some people higher doses than you will end up using. In my work there's an additional problem, because the brain is complex and I want to look at all of it. Besides, sometimes you want to know a single individual's response--if Fred needs the drug, he doesn't really need to know the right dose for Suzy. That's the question our method is trying to answer. This paper simply shows the results with our new, upgraded data analysis approach, using the same idea and data from our 2013 paper.
The following have contributed to this page: Dr Kevin J. Black