We are very proud to have 4 startups represented among the competition's 74 winners iLab who will be supported by the State via #France2030!
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Thanks to the Government, ADEME, and Bpifrance for their support of our researcher-entrepreneurs via #France2030. And above all, thank you to our entrepreneurs for their trust; we are proud of how far we've come!
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• Ncodin - Grand Prize in the Electronics, Signal Processing & Instrumentation category!
The startup, a spin-off from the C2N laboratory at UP Saclay, is developing a revolutionary nanophotonic chip called an optical interposer, integrating interconnections that use light as an information vehicle, replacing electronic interconnections and eliminating their drawbacks (low bandwidth, slowness, energy-intensive). Congratulations Francesco Manegatti & Bruno Garbin!
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• Raidium - Grand Prize in the Digital, Software Technologies and Communication category. The startup is developing the very first foundation model dedicated to imaging, the "GPT" of radiology. This new generation of AI will provide easier access to imaging biomarkers within a dedicated platform for precision medicine, for both practice and clinical research. Congratulations Paul Herent & Pierre Manceron!
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• Scienta Lab -Winner in the Medical Technology category, develops a proprietary multimodal foundation model dedicated to precision medicine in immunology and inflammation.
Co-founded by 2 CentraleSupélec alumni, the startup has notably collaborated with the #AI MICS laboratory at CentraleSupélec to develop its foundation model named EVA. Congratulations to Camille Bouget, Vincent Bouget, and Julien Duquesne.
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• Emobot -Winner in the Medical Technology category, which developed its technology within The Institute of Electronics and Digital Technologies (Aimac team) at CentraleSupélec with Professor Renaud Seguier. Co-founded by 3 CentraleSupélec alumni, Emobot is a #medtech that has developed technology to automatically, passively, continuously, and interpretably estimate mood.
This AI innovation helps doctors diagnose and monitor their patients remotely, while enabling patients with mood disorders to better monitor themselves.
Congratulations to Tanel Peletot, Antony Perzo, Samuel Lerman!
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