Sanofi iDEA-TECH Awards North America

“The iDEA-TECH Awards initiative is providing a unique opportunity to work as a team to study itch in kids with atopic dermatitis in the comfort of their homes by incorporating our Emerald AI technology. It has been exciting to work so closely with the Sanofi team around a shared commitment to breaking new grounds for this important population.”

Dina Katabi, PhD, Thuan and Nicole Pham Professor, MIT President and co-Founder, Emerald Innovations, Inc. 

“It’s rewarding to see how our industrial collaborators understand the scientific leverage obtained through careful use of real-world data  and analytic techniques matched to the strengths and limitations of these data. I’m excited to see how our younger researchers are working with these collaborators to bring a more nuanced and personalized approach to understanding neurodegenerative and immune-driven diseases.”

Issac Kohane, PhD, Marion V. Nelson Professor and Chair, Department of Biomedical Informatics, Harvard Medical School

"It has been wonderful to collaborate closely with Sanofi to jointly solve the methodological issues my team and I proposed in our iDEA-TECH award. We are focused on translating trial findings to real-world target populations. As data scientists, we typically choose sound and efficient tools to accomplish such goals. However, the practical implications that arise from application of methods - particularly when applied to real-world data sources - make this challenging. Our diverse team of academic data scientists and Sanofi scientists has enabled us to approach these problems in such a way that better position our methods to being adoptable and translatable."

Manisha Desai, PhD, Professor of Medicine and of Biomedical Data Science, Stanford University

"The iDEA-TECH Awards initiative not only allows us to tackle complex scientific questions to support the R&D portfolio, but also strengthens Sanofi’s academic networks with top innovators in the areas of AI, data science and new technologies and facilitates important cross-training opportunities."

Eric Genevois-Marlin, Global Head of R&D Data & Data Science (DDS)

“As the iDEA-TECH initiative progresses, it is exciting to see our partnerships mature to where we are now applying new AI models and insights to our priority projects and using these to support decision-making.”

Karen Chandross, PhD, Head of External Innovation, North America R&D