VIDEO PRESENTATION OF LORIA
ORPHAMINE: A TOOL TO LEARN MORE ABOUT RARE DISEASES
Loria’s colloquium is coming back !
After the great success of the colloquium that took place during the Loria’s 40th aniversary, we reiterate these good scientific moments.
The first event of the year will happen on Friday, January 27th at 1.30 pm in the Amphitheater, with Hermann Ney, full professor of computer science at RWTH Aachen University. His presentation is entitled : “Human Language Technology and Machine Learning : From Bayes Decision Theory to Deep Learning“.
The collaborative project between the Loria (University of Lorraine, Inria and CNRS) and the JAIST (Japan Advanced Institute of Science and Technology) based in Kanazawa (Japan) was made official on Thursday November 3rd at 6 p.m. at
A team of researchers, Joshua Fried and Nancy Nadia Heninger (University of Pennsylvania), Pierrick Gaudry (CNRS/University of Lorraine) and Emmanuel Thomé (CARAMBA team, Inria/University of Lorraine), has recently demonstrated that certain standards used in cryptography in order to secure exchanges and communication use prime numbers whose origin is unverifiable: at least 37% in HTTPS (of the million most visited Internet websites), and at least 13% on IPsec VPNs. This represents a real risk of spying on both individuals and economic interests.
Like Dr. House in the series of the same name, doctors sometimes come up against enigmas when faced with certain pathologies. The aim of the OrphaMine platform developed as part of the ANR Hybride project is to increase specialists’ understanding of rare diseases. The platform has been tested in-house and will soon be offered to a broader panel made up of doctors, researchers and representatives of the pharmaceutical industry.