Who does your drug work for?
Using Causal AI to Answer the Patient Response Question

November 12, 2019 | 1:00PM EST

 

Thank you for tuning in.

If you missed our webinar on Tuesday, November 12, or want to review the presentation and recording, you can download both by filling out the form.

We were thrilled to have our guest speaker, Dr. Alan Venook, Former Chair of the Alliance for Clinical Trials in Oncology, Madden Family Distinguished Professor of Medical Oncology and Translational Research at the University of California-San Francisco, join us to discuss why he joined forces with GNS Healthcare and how together, they used GNS’ causal AI platform to better understand treatment response in metastatic colorectal cancer patients. 

 

ACCESS THE RECORDING AND SLIDES 

During this 60-minute webinar we covered:

  • What causal AI is, how it differs from predictive analytics, and its applicability to pharma’s toughest questions  
  • How causal AI uncovers the mechanistic underpinning of patient treatment response 
  • A specific example of causal AI in practice from the Alliance for Clinical Oncology and GNS Healthcare collaboration in colorectal cancer  
  • How to think about using causal AI to gain unique insights from failed clinical trials 
  • How identifying drivers of response can improve clinical practice and drug development   

Speakers

alanvernook

Alan P. Venook, MD

Study Chair for the CALGB/SWOG 80405 (Alliance) study, Madden Family Distinguished Professor of Medical Oncology and Translational Research at the University of California-San Francisco, and Shorenstein Associate Director for Program Development at the Helen Diller Family Comprehensive Cancer Center

rahul

Rahul Das, PhD


Associate Director of Precision Medicine

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