1. Driving pharmaceutical product
design with big-data intelligence
PharmapackNorthAmerica2014
Brian Cohn - Pitzer College
Michael Bartoli - Pomona College
PDF Truncated Slides
Presentation Logistics:
Thursday June 12, 2014
Javits Convention Center Room 1E02
Session:
“Updates in Packaging Design & Labeling Technologies to Improve Patient Compliance”
1:00pm - 2:45pm
Contact:
Brian Cohn
brian_cohn14@pitzer.edu

2. Let patient media inspire design
The Feedback Loop
Consumer frustration
Extracting patient media
Visualization & Analysis
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3. Involvement in Social Media
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4. 8/42

5. Why social media data?
Snapshot of real-time data
Low barrier to creating analyses
Agnostic/Passive listening (privacy issues)
Cheaper than product surveys
Volume
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6. 19/42

7. How long does it take to classify 500M tweets?
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8. Generate classification heuristics using
machine learning + natural language processing
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9. 29/42

10. Which words are most closely
associated with your product?
33/42

11. Word Association
34/42

12. Clustering of topics
35/42

13. FDA Regulatory Network Analysis
For similar pipeline products, what are the top hindrances to FDA approval?
Address this problem with network min-path
optimization.
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