November 29, 2019
Bulletin interne de l'Institut Pasteur
Artificial intelligence methods such as deep learning are leading to impressive advances in biomedical data analysis. From medical diagnosis and DNA sequence analysis to augmented microscopy and molecular design, the scope of applications for artificial intelligence is constantly expanding and drawing on ever larger databases. But most research based on deep learning does not enable users to effectively adapt such methods to their own data, and actually making use of published methods can be difficult for non-IT specialists. To overcome these obstacles, scientists in the Institut Pasteur's Imaging and Modeling Unit have designed a platform that offers simplified access to deep learning for the biomedical community.