A Translational Medicine Platform at Sanofi

Editor's Notes

• #2: Make it more “provocative” create interest “sanofi, by implementing big data …. More innovation , ” create connection with audience
• #4: Sanofi is a global healthcare company focused on patient needs and engaged in the research, development, manufacturing and marketing of healthcare products. 2013, net sales amounted to 32,951 million euros. We are the world’s third largest pharmaceutical company and the second largest in Europe. (source: IMS sales 2013) The Sanofi Group is organized around three principal activities: Pharmaceuticals, Human Vaccines via Sanofi Pasteur and Animal Health via Merial of which we are among the world leaders. We are present in approximately 100 countries on five continents with 110,000 employees at year-end 2013. As a global diversified healthcare company, our business includes a comprehensive offering of medicines, consumer healthcare products, generics, human vaccines and animal health. As of the beginning of February, our R&D portfolio included 49 projects and vaccine candidates in clinical development. 80% of development projects(1) are biologics. (1) 39 new molecular and vaccine entities of a total of 49
• #7: In the future, research will allow us to predict how, when, and in whom a disease will develop. We can envision a time when we will be able to precisely target treatment on a personalized basis to those who need it, avoiding treatment to those who do not. Ultimately, this individualized approach will allow us to preempt disease before it occurs, utilizing the participation of individuals, communities, and healthcare providers in a proactive fashion, as early as possible, and throughout the natural cycle of a disease process.”
• #8: The Promise for New and Better Drugs for Patients Can we remove a bit of text ? (2nd level bullet) Clarify the cloud ? A network of linked data Specific speak about the linked data, new part of story Question : what was happening BEFORE mongoDB ? During project? Why was it important Patient stratification Companion Diagnostics Efficacy / Safety Adaptive clinical trial design Clinical trial simulation Support Next Generation Sequencing Integrated with Knowledge Platform With combined clinical & research data Biological Pathways / Biomarkers Seamlessly include public information Build testable hypotheses
• #9: One challenge is to efficiently manage the overwhelming amount of relevant data files from various sources for a single disease program, the number of files to be managed can easily exceed thousand, including file of gigabytes. The tracability needs to be maintained, usually across multiple software Another challenge is to maintain the consistency across multiple data sources User friendly curation process Both are especially true in a research up to clinical translational approach
• #10: Regroup data : Unique file management across all software Foster use of metadata: for an easier data analysis and curation Powerful search capacity, including faceting Best place for knowledge extraction, data curation and NLP
• #11: Adapted to metadata The third make possible to proove that 1 & 2 are true
• #12: Wow effet: insister sur l’aspect quick demo qui tourne Big pharma / lantency / carefully Tell more about the momment of transformation, when the change really happend (precise time, anectote) exiting…
• #15: Like a prez itself. Need an intro ‘I’ll show how easy to tag… ’
• #16: Check facette speling ? 1 T
• #19: Font size large enouth ? Grey may not be good !
• #22: One challenge is to efficiently manage the overwhelming amount of relevant data files from various sources for a single disease program, the number of files to be managed can easily exceed thousand, including file of gigabytes. The tracability needs to be maintained, usually across multiple software Another challenge is to maintain the consistency across multiple data sources User friendly curation process Both are especially true in a research up to clinical translational approach