27 Oct

New blog post on ComputeCancer blog!

I’ve just added a new post on my ComputeCancer blog. This time I wrote about estimating minimal time on PD-1/PD-L1 inhibitors for successful tumor regression.

Link: https://computecancer.wordpress.com/2017/10/27/estimating-minimal-time-on-pd-1pd-l1-inhibitors-for-successful-tumor-regression/

And here is a brief intro:

“In todays post, I will adopt a mathematical model that was introduced by Kuznetsov and colleagues back in 1994 (Kuznetsov et al., Bull Math Biol, 1994) to investigate the effects of anti-PD-1/PD-L1 therapy depending on the pretreatment tumor characteristics. The way in which the model was formulated more than two decades ago allows for elegant and straightforward incorporation of such a treatment. I will show how the variability in the observed response dynamics is explained by the model and how can we estimate the minimal time on PD-1/PD-L1 treatment required for a therapeutical success.”