Commendo @ Strands $100K Call for Recommender Start-Ups - RecSys08

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Information about Commendo @ Strands $100K Call for Recommender Start-Ups - RecSys08
Technology

Published on October 23, 2008

Author: strands

Source: slideshare.net

Drug Design Recommendation commendo research & consulting GmbH

Project Idea / Main Targets R ecommender technology to optimize the drug design process Speeding up development Highly customized drugs Minimization of adverse reactions Increasing probability to pass clinical tests Discover harmful drug combinations to minimize side effects

R ecommender technology to optimize the drug

design process

Speeding up development

Highly customized drugs

Minimization of adverse reactions

Increasing probability to pass clinical tests

Discover harmful drug combinations to minimize

side effects

Business Opportunity Market: Pharmaceutical Industry Long term success by accelerating research in drug design Reduce pharmaceutical development costs >800 mio. $ for bringing one drug on the market 95% rejection rate Source: Burrill & Company

Market: Pharmaceutical Industry

Long term success by

accelerating research in

drug design

Reduce pharmaceutical development costs

Data Relationship Accurate, customized recommender models can be applied Recommender analogy: User ↔ Item Effect ↔ Substance 0 0 1 1 1 0 0 0 1 1 0 1 0 0 1 1 0 1 0 0 1 1 0 Sub. 1 Sub. 3 Sub. 5 Sub. 4 Sub. 7 Sub. 8 Sub. 6 Sub. 2 Sub. 9 Sub. 11 Sub. 13 Sub. 12 Sub. 15 Sub. 14 Sub. 10 Effect 0 Effect 1 Effect 2 Effect 3

Holistic Model Integration of all data Considering: substances & effects From all drug development stages Use of recommender algorithms to predict unknown effects of substances Identification of substances with desired effects to develop customized drugs

Integration of all data

Considering: substances & effects

From all drug development stages

Use of recommender algorithms to

predict unknown effects of substances

Identification of substances with desired

effects to develop customized drugs

The Team & the Netflix Prize Georg Preßler, Andreas Töscher, Michael Jahrer, Michael Schrotter Leading single team at Netflix Prize competition

Georg Preßler, Andreas Töscher, Michael Jahrer, Michael Schrotter

Leading single team at Netflix Prize competition

Thank you for your attention commendo research & consulting GmbH

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