Institut Pasteur is actively engaged in the application of artificial intelligence methods in biomedical research. In 2018, the Institute has created a Department of Computational Biology to strengthen its expertise in the analysis of massive data generated by laboratories (DNA sequencing, proteomics, imaging, etc. ). Artificial Intelligence is now integrated into its strategic plan in the form of a targeted technological action (ATC-AI). This initiative aims to strengthen the Institute’s expertise in this field by recruiting new talent and investing in the most competitive technologies. Institut Pasteur is committed to using these technologies ethically and responsibly in its research, ensuring data protection in accordance with French regulations and good ethical practice, while fully exploiting the benefits they can offer to improve our understanding of biology and for public health.
ANNUAL SYMPOSIUM
FULL PROGRAM : HERE
Registration closed
The Targeted Technological Action on Artificial Intelligence (ATC-IA) is organizing the second edition of its Symposium Artificial Intelligence in Biology and Health. It will be held on 4th October 2024 in the Émile Duclaux lecture hall at the Institut Pasteur campus. The symposium will bring together researchers working at the intersection of AI with biomedical sciences to discuss opportunities and challenges in this exciting and rapidly evolving field.
The symposium will include two invited keynote talks by eminent speakers:
Anne-Florence BITBOL (EPFL, Lausanne, Switzerland)
Jean-Remi KING (ENS-PSL, Paris, France)
Artificial intelligence (AI) methods such as deep learning have fueled breakthroughs in many data-intensive fields, such as computer vision, speech recognition or question-and-answer systems, as recently illustrated by ChatGPT. AI also holds enormous potential for biology and health. Indeed, AI-powered methods can accurately predict 3D protein structures from their DNA sequence, diagnose skin cancer from photographs, predict patient outcomes or help design new drugs… AI can also integrate large and complex data sets including genomics, transcriptomics and proteomics data and mine them for new insights.
The organizers hope it will foster collaborations and inspire new ideas in the application of AI for biology and health.
