• An artificial neural network approach integrating plasma proteomics and genetic data identifies PLXNA4 as a new susceptibility locus for pulmonary embolism 

      Razzaq, Misbah; Iglesias, Maria Jesus; Ibrahim-Kosta, Manal; Goumidi, Louisa; Soukarieh, Omar; Proust, Carole; Roux, Maguelonne; Suchon, Pierre; Boland, Anne; Daiain, Delphine; Olaso, Robert; Havervall, Sebastian; Thalin, Charlotte; Butler, Lynn; Deleuze, Jean-François; Odeberg, Jacob; Morange, Pierre-Emmanuel; Trégouët, David-Alexandre (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-07-07)
      Venous thromboembolism is the third common cardiovascular disease and is composed of two entities, deep vein thrombosis (DVT) and its potential fatal form, pulmonary embolism (PE). While PE is observed in~ 40% of patients with documented DVT, there is limited biomarkers that can help identifying patients at high PE risk. To fll this need, we implemented a two hidden-layers artifcial neural ...