Showing posts with label conference. Show all posts
Showing posts with label conference. Show all posts

Saturday, October 19, 2013

Wednesday, May 1, 2013

Upcoming meeting: Tumor Models, Boston, July 23-25, 2013


Better Preclinical Models. Better Predictions. Better Patient Response.

Tumor Models gives you the tools to develop and utilize the very best preclinical oncology models. 
This is a meeting for drug developers who are looking for answers to the difficulties faced with preclinical oncology models that are currently being used to test new cancer drugs. This is a forum to learn what you really need to know about the models pharma are using that are superior in predicting efficacy and mimicking tumor activity in patients. It’s also the best way to identify what preclinical questions need to be answered and make the best possible translational decisions. Decisions that will lead to more effective drug performance in the clinic. 

Tuesday, October 30, 2012

Upcoming meeting: Tumor Models, London, January 2013

The path to successful clinical development of oncology drugs starts with using predictive tumor models. This is easier said than done. 

The organizers of the Tumor Models meeting in London (January 29-31, 2013) have assembled a roster of speakers from AstraZeneca, Eisai, Roche, MedImmune, Genentech, Sanofi and others to discuss tumor models used at these companies, optimization of traditional models, and explore alternative models and methods to better predict drug efficacy.

Thursday, June 21, 2012

Targeting Tumor Microenvironment, Boston: Pre-meeting notes 2

In the run up to the Targeting the Tumor Microenvironment meeting, taking place in Boston, this October, there are some great resources available to you to download free of charge from the website resources page.

Targeting Tumor Microenvironment, Boston: Pre-meeting notes 1

"Targeting the Tumor Microenvironment" meeting will take place in Boston in October and will be looking at how to achieve tumor delivery, tackle drug resistance and improve clinical efficacy.