Embracing Complexity: Integrating Data for Predictive Disease Models

Embracing Complexity: Integrating Data for Predictive Disease Models

TEDMED via YouTube Direct link

The problem: Our minds are wired for linear thinking, storytelling, not statistical uncertainty

4 of 8

4 of 8

The problem: Our minds are wired for linear thinking, storytelling, not statistical uncertainty

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Embracing Complexity: Integrating Data for Predictive Disease Models

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  1. 1 Intro
  2. 2 Single Molecule Real Time Observation System (Zero Mode Waveguides)
  3. 3 DNA is but one dimension, and in genetic studies reflects averages in populations: Understanding?
  4. 4 The problem: Our minds are wired for linear thinking, storytelling, not statistical uncertainty
  5. 5 Embracing Complexity: Integrating data to build predictive models of complex disease and drug response phenotypes
  6. 6 Integrating data collected on populations, literature
  7. 7 Models used to interpret targets under development Novel phosphatase under development at Merck for T2D
  8. 8 Pharmacologic validation of the network predictions

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