How to Solve Pharma’s Biggest Questions with Causal AI
Select the right solution from the vast AI landscape & dive into the inner workings of applying causal AI to
pharma R&D

March 3, 2020 | 1:00PM EST

 

Thank you for attending our webinar!

To access the deck and the slides, please fill out the form. During the webinar we discussed how over 70% of pharma companies are investing in AI, but many are struggling to identify the right solution for their specific needs! AI may be the latest buzzword to transform the drug lifecycle, but if the wrong tools are applied to pharma’s biggest problems, the derived insights cannot deliver results. 

In this 30-minute webinar, the GNS Healthcare team introduced listeners to the complex landscape of AI and help you hone in on one specific type of AI: causal inference. They left with an understanding of:

  • What is causal AI and where does causality sit in the landscape of AI
  • Which types of questions can only be answered with causal AI
  • Why you can trust causal inference to answer your key questions

Before you keep tackling the daunting task of moving beyond correlation to uncovering causation and enabling your R&D teams to uncover mechanisms of diseases, optimize clinical trial design, and run in silico simulations instead of costly experiments.

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Speakers

todd headshot

Todd Oakland, PhD, MPH
Principal

judith headshot

Judith Mueller, PhD
Senior Director of Research and Data Science