Commendo @ Strands $100K Call for Recommender Start-Ups - RecSys08
Commendo research & consulting GmbH proposes a recommender technology to optimize the drug design process. The technology would speed up development, allow for highly customized drugs, minimize adverse reactions, and increase the probability drugs pass clinical trials. It discovers harmful drug combinations to reduce side effects. There is a large business opportunity in the pharmaceutical industry as developing one drug costs over $800 million and 95% of drugs are rejected. The technology builds an holistic model integrating substance and effect data from all drug development stages. It uses recommender algorithms to predict unknown effects and identify substances with desired effects to develop customized drugs. The company's team previously led the Netflix Prize competition in recommender systems research.
Commendo @ Strands $100K Call for Recommender Start-Ups - RecSys08
- 1. Drug Design Recommendation commendo research & consulting GmbH
- 2. 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
- 3. 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
- 4. 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
- 5. 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
- 6. The Team & the Netflix Prize Georg Preler, Andreas T旦scher, Michael Jahrer, Michael Schrotter Leading single team at Netflix Prize competition
- 7. Thank you for your attention commendo research & consulting GmbH