Tersan hosted their regular Science Day this week – a 1-day symposium in Paris on advances in machine learning and artificial intelligence, chaired by Dr Jean Sallantin, Director of Research at the CNRS LIRMM (Laboratoire d’Informatique, de Robotique et de Micro-électronique de Montpellier) and Scientific Advisor to Tersan.

As ever, this was a stimulating day comprising a series of short presentations from Tersan data scientists and leading academic practictioners, and provided an excellent opportunity for intensive discussion and sharing of ideas around all aspects of unsupervised and supervised learning. Topics covered a diverse range of industrial use cases drawn from the extensive Tersan project portfolio (including predictive algorithm development for personalized medicine, multi-marker biomarker signature characterization, and analysis of rare events in large Real World Evidence data sets), and methodology developments and future trends in the field of Deep Learning.