What I learnt at the recent AACR annual meeting in New Orleans is that cancer immunotherapy studies are requiring industry to think differently about clinical trial design.
As we move into combination trials of novel/novel combinations, how do we efficiently work out not only that each drug is safe, but in what patients they are likely to be most effective?
Readers who listened to the recent Novel Targets Podcast, “Of Mice and Men” will hear about some of the challenges associated with mouse models and how decisions are made moving into the clinic.
What I learnt from the podcast (and I hope you did too) is that if you are doing an immunotherapy trial in patients, the type of mouse model can really matter when it comes to interpretation of the preclinical data.
In response to a subscriber request, today’s post is about some of the statistical challenges in designing combination immunotherapy trials. To many, statistics is like voodoo, so this post does not go into any maths!
Subscribers can login to read more or you can purchase access by clicking on the blue button below.