Sanofi iDEA-TECH Awards North America 2025-2026

Sanofi iDEA-TECH Awards North America 2025-2026 is sponsored by Sanofi. This award supports 1-year projects led by academic researchers and early-stage startups exploring emerging science and technologies applicable across the therapeutic pipeline.

Sanofi iDEA-iTECH Awards North America Sanofi iDEA-TECH Awards North America Sanofi is committed to collaborating with partners to advance cutting-edge discoveries.

The Sanofi Innovations in Data Exploration and Analytics (iDEA) Awards program, launched in 2018, provides seed funding to innovators at research centers and early start-ups across North America to transform breakthrough digital, data science tools and new technologies into solutions that accelerate the R&D pipeline and improve people’s lives.

In 2022, the iDEA awards (NA) and iTECH awards (Europe) merged into the Sanofi global iDEA-TECH awards. Seed funding of $150.

000 USD Dedicated Sanofi Project Champion and resources (subject matter experts) A stepping stone to further collaboration The Next Project Call is Anticipated for November 2026 Examples of Partnering Opportunities Predict & track disease progression & drug effects Maximize drug value in the real world Optimize clinical trial design Drug target enabling platforms Test new digital/AI solutions High throughput screening approaches Analytic tools to understand drug mechanism or product quality Selen Bozkurt, PhD, MS, FAMIA, Assistant Professor, Vice Chair of Outreach, Department of Biomedical Informatics, Emory University School of Medicine, Co-Director, Pain Intelligence Lab “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 Recent award recipients share how winning this award and collaborating with Sanofi researchers has impacted their work.

iDEA-TECH Recipients for 2025-2026 Harvard University, Harvard Medical School MIMETAS Operations Us, Co National Research Council of Canada Wenpeng Yin and Wenrui Hao The Pennsylvania State University The Pennsylvania State University University of California, San Diego University of North Carolina at Chapel Hill University of Southern California Complete list of past and current recipients Uncovering New Therapeutic Targets for Amyotrophic Lateral Sclerosis (ALS) and Neurological Diseases Using Real-World Data UCLA, Jennifer Wilson, 2025 Evaluating the robustness of an AI pathfinder application on eligibility criteria in multiple myeloma trials using real-world data and historical trials Weill Cornell Medical College, Fei Wang, 2024 doi: 10.

57264/cer-2023-0164 Characterizing the connection between Parkinson’s disease progression and healthcare utilization Harvard, Brett Beaulieu-Jones, 2024​ doi: 10. 1101/2024. 09.

15. 24313708 Learning the Language of Antibody Hypervariability doi. org/10.

1073/pnas. 2418918121 Disease Progression Strikingly Differs in Research and Real-World Parkinson’s Populations Harvard Medical School, Brett Beaulieu-Jones and Isaac Kohane, 2024 doi: 10. 1038/s41531-024-00667-5 A Critical Review of Methods for Real-World Applications to Generalize or Transport Clinical Trial Findings to Target Populations of Interest Stanford, Manisha Desai, 2023 doi: 10.

48550/arXiv. 2202. 00820 Characterizing Real-World Safety Profile of Oral Janus Kinase Inhibitors Among Adult Atopic Dermatitis Patients: Evidence Transporting From the Rheumatoid Arthritis Population Stanford, Manisha Desai, 2022 doi: 10.

1080/03007995. 2022. 2088715 Transporting Observational Study Results To a Target Population of Interest Using Inverse Odds of Participation Weighting Stanford, Manisha Desai, 2022 doi: 10.

1371/journal. pone. 0278842 Accelerating Diagnosis of Parkinson’s Disease Through Risk Prediction Harvard, Scott Lipnick, 2021 doi: 10.

1186/s12883-021-02226-4 Calibration and Uncertainty in Neural Time-to-Event Modeling Duke, Ben Goldstein, 2020 doi:10. 1109/TNNLS. 2020.

3029631 For more information about iDEA-TECH Awards External Innovation (EI) – North America