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Collaborative Artificial Intelligence for Healthcare Data

Everyday, new deep learning algorithms are trained to solve specific tasks, such as medical images classification. What if we could share and connect those algorithms and create the conditions for a cross-fertilization between these powerful artificial intelligence systems ? In this talk, we will discuss the fundamental role of transfer learning to foster the emergence of collaborative artificial intelligence and show how it can bring the power of big-data-trained deep learning algorithms into the world of medical not-so-big data. As an illustration, we will present a new platform for medical image recognition based on deep transfer learning and collaborative AI.

Gilles Wainrib is Chief Scientific Officer and co-founder at Owkin, where he leads the data science team. He holds a PhD in applied mathematics from Ecole Polytechnique and was a former researcher at Stanford University and Ecole Normale Supérieure in Paris, working on machine learning algorithms and their applications in biology and medicine. He is the author of 30+ scientific publications in mathematics, physics, biology, medicine and computer science.