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Sanofi big data approach for translational medicine MongoDB World 2014 New York June 23-25, 2014 1

A Translational Medicine Platform at Sanofi

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  • 1. Sanofi big data approach for translational medicine MongoDB World 2014 New York June 23-25, 2014 1

2. Agenda Sanofi a Pharma Company Translational Medicine Concept Sanofi Architecture View Why MongoDB? Use Cases: Overview and Deep Dive Benefits, Lessons Learned & Next Steps 2 3. Information of December 31st 2013 SANOFI GROUP We are a global healthcare company engaged in the research, development, manufacturing and marketing of healthcare solutions. present in more than 100 countries more than 110 000 employees A comprehensive offer of pharmaceuticals, vaccines and innovative therapeutic solutions 112 Industrial sites in 41 countries R&D A major biopharmacy player 45% of revenues generated by biologics 80% of development projects are biologics 33 bn* In sales in 2013 * 32,951 M Sanofi: A Big Pharma Company 4. Sanofi R&D (1) Investor Relations Annual Results Meeting dated April 29th, 2014, excluding Merial R&D (2) Source : Document de Rfrence 2013. (3) Source : Document de Rfrence 2013. Includes all R&D positions within the Group (Affiliates, Industrial Affairs, etc) Billions invested in R&D in 2013(2) 4,7 worldwide(2) 20 sites More than Clinical Study Units in 40 countries Molecules and vaccines in the R&D portfolio 50 Including 12 in late stage(1) Employees worldwide contributing to the research and development of innovative health solutions(3) 16 500 Approximately 4 5. Introduce ourselves Global Solution Leader at Sanofi-Aventis R&D Translational Medicine Platform. Sanofi Representative in the eTRIKS Project Manager at Sanofi-Aventis R&D Early research Enterprise Data Warehouse Big data project for Translational Medicine Platform Scrum Master, Technical leader at Apside Deep pharma experience (Servier, Fabre, Sanofi) Advanced agile expert 5 6. Pharma Company Mutation From curative to preventive medicine Main challenges for Pharmas Competition by generic, End of the blockbuster age, Leak of innovation, New paradigm: 4 Ps concept & translational medicine Personalized, Predictive, Preventive, Participatory 6 7. Research Clinical Knowledge OMICS data Hypotheses Trials EHRs CROs Evidence Efficient clinical trials Personalized medicine New capabilities for OMICS data One stop shop for TM data & knowledge Translational Medicine Concept Bridge Clinical & Research 7 8. New challenges raised by TM A diversity of objects to be connected Maintain consistency & traceability Extract knowledge, gain understanding 8 9. Research Molecular Profiling Clinical Analysis Big Data TM Data-Hubs Biomarker- Research Target validation Interpretation Biomarker Epidemiology Extraction Curation Normalization Loading Coordination & Collaboration TM Data Mgmt Layer A C B D 011001101 BIOMARKER MongoDB as a central repository to enhance biomarker research Sanofi Architecture View Schematic Overview 9 10. Why MongoDB? ScalableAdapted to file & metadata Easy To use To install To understand and to adopt 10 11. How we moved to mongoDB? White paper on Big data Install, benchmark PoC 1st Release in PROD Q42013Q12013 Wow 11 12. GridFS fs.file/fs.chunk Logs, tools User profile Config Metadata Service layer (REST API) Web site Third party software Fuse/Desktop software MongoDB Use Cases General architecture 12 13. MongoDB Use Cases Annotation 13 14. MongoDB Use Cases Annotation 14 15. Geographic zone / Health activity MongoDB Use Cases 360 Data Explorer AND 7 docs AND 16 docs Same Data, exposed in different organization Facetted Navigation Disease or Syndrome / Receptor 15 16. Lessons Learned & Challenges Link together the hybrid landscape Keep in sync MongoDB an the Solr index IT/infrastructure department needs supports MongoDB is not yet a standard in Sanofi But Convincing managers/architects is easy PoC can be set up very easily and show immediate benefits The fast growing community/clients help a lot 16 17. Next Steps Curation process Improve curation by integrating open refine Collaboration Set up security at the smallest data piece (cell level security) Scale up Deploy to more department and geographic area Transition mongoDB support to infrastructure teams To be finalized 17 18. Benefits Scientists: Time gain in tagging and curation Awareness of existing data Explore data Integration of external data IT: Time of development (agility) & implementation Flexibility Performance Documentation, support, training, MOOC 18 19. Question and answers 19 20. Draft Agenda Challenges & business case (2 slides), the sanofi TM4P platform (2 slides): how sanofi can be more innovative General idea (2 slides): research data hub : transform the way its done today Implementation MongoDB as a central store (metadata, gridFS: 2 3 slides) Ecosystem: solR integration (1 slide), DML (1 slide) (Business track not too technical) system data flow Demo by screenshots ? (3 slides) Challenges: set up an hybrid solution (solR/xxx ) User testimony benefits (time, data quality & understanding) IT testimony: reduce the development time/agile deployment plan Next step/perspectives (2 slides) 20 21. New challenges raised by TM 21 22. 22 23. 23 24. 24 25. DML STORE ORGANISE COLLABORATE LINK DATA VISUALIZE ANALYSE 25