Deliberate Solving:

Combining Machine Learning Technology with a Complex R&D Challenge to Invent a New Way of Discovering Medicines 

The Challenge

An R&D Leadership team wanted to explore how might machine learning accelerate the identification of novel

immuno-oncology compounds.

The Approach

We designed a multi-day session that was divided into 3 parts: 

(1) Inspiration

(2) Solving 

(3) Transformation

To prime the participants, we incorporated: a data scientist panel, embedded machine learning and AI Subject Matter Experts into teams and integrated outside case studies to spark fresh solutions.

The Outcome

A 10 week experiment was designed with IBM Watson to extract scientific evidence and non-obvious linkages for promising treatment combinations.

The Results

Pfizer/IBM co-developed models that identified a rank ordered list of promising combinations for further assessment and demonstrated the potential to identify promising new candidates from the literature, sometimes years prior to definitive publication. The approach potentially provides PFE Researchers with a head start.

Dan Seewald

To find out more about Deliberate Innovation, please contact me to discuss.


Phone: 201.724.9111

© 2019 Dan Seewald. Created by Design With Artisan

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