-Hi, I’m Javier Jimenez, I’m the Global Head of Real World Evidence in Sanofi. Sanofi's a healthcare company dedicated to understanding the needs of people and provide healthcare solutions for people. It works in more than 170 countries and have more than 100,000 employees working across the different global business unit of Sanofi. Sanofi Pasteur for vaccine, the primary care business units, Sanofi Genzyme for specialty care and to develop healthcare solutions. So one of the challenge, of course, is to have the right information, the right data, to fully understand those needs. And also, how to apply the technology and the new opportunities to develop the healthcare solutions for patients. Optune has been critical for us in order to have access to this data. So the high quality of the data, the opportunity to evaluate the provenance of the data and to secure that we can maximize the data at the patient level has been really critical for us. The point that the data works across all the different therapy areas is really important for us, given the broad portfolio of Sanofi. It has been a mutual collaboration. It started with us trying to have access to the data, but then through discussion and collaboration and understanding, we have been working with Optune in order to see what is needed on the data, so that we can even provide feedback to Optune about what are the needs on the data that it will be useful for us. But also understand and use the analytical capabilities of Optune, given the fact that they really know the data and have the right knowledge and analytical capabilities, can help us to answer some of the questions that we can't answer by ourselves. Before we engaged with Optune, the approach was usually to answer one question at a time and probably, mainly going to an external provider, and work with them to solve this particular question. Since we engaged with Optune, we have the Optune data in-house in Sanofi. We have built a platform, where we house all this data and we have a group of analysts that can explore the data in a continuous way. The benefit of this is now we answer one question, but at the same time that we answer one question, we are learning. And the learnings are stored in the platform, so any new project, any new question takes less time to respond and we can answer more questions and we know more and more from the patient, having this analysis of the data. With this level of data and analytics, you can personalize the information. You can really understand more and more, closer to the individual patient needs and how the different product or solution can be targeted to particular patients. Since we have started this collaboration, we have delivered more than 200 projects where we generated more information on our product or on the disease that is being used for scientific publication, or for communication with different providers to get much better information on our products. The most exciting is about the possibility to use new analytical capabilities like machine learning,

predicted modeling, that allow us to identify and predict what will be the potential outcome at the individual basic level, based on the patient’s characteristics. This will allow us to personalize the use of the product, but also we are starting to use those models to identify groups of patients that could be similar and where we can target the development of the product, better understand their medical need, and develop a product more targeted to their particular needs. Our mission for our team is to improve patient outcome. We want to have an impact at the patient level, so we want to use the data to better understand the needs, the data, to inform our internal teams in the development and commercialization of our products so that it can be done at the patient level, and improve the outcome of the patient, and also to use these analytics to discuss and to inform external stake holders, like payer, healthcare provider, or even patient about what are the values of our product so that they can use in the best way. The role of Optum will be to continue improving the quality of the data, and increasing the access to more contextual data at the patient level so that we can fully understand all the components that are driving the final outcome for a patient. But also the collaboration and fully understand how these analytics can be used to implement healthcare solutions and tools that can be used to really target the treatment and the management at the individual patient level.