• Exploring high-throughput immunoassays for biomarker validation in rheumatic diseases in the context of the human proteome project 

      Fuentes, Manuel; Ruiz-Romero, Cristina; Misiego, Sara; Juanes-Velasco, Pablo; Landeira-Viñuela, Alicia; Torres-Roda, Adrián; Lorenzo-Gil, Héctor; González-González, María; Hernández, Ángela P.; Lourido, Lucía; Sjöberg, Ronald; Pin, Elisa; Las Rivas, Javier de; Sánchez-Santos, José Manuel; Nilsson, Peter; Blanco García, Francisco J (ACS Publications, 2022-12-07)
      [Abstract] Rheumatic diseases are high prevalence pathologies with different etiology and evolution and low sensitivity in clinical diagnosis. Therefore, it is necessary to develop an early diagnosis method which allows ...
    • Predicted and actual 2-year structural and pain progression in the IMI-APPROACH knee osteoarthritis cohort 

      van Helvoort, Eefje M.; Jansen, Mylène P.; Marijnissen, Anne C.A.; Kloppenburg, Margreet; Blanco García, Francisco J; Haugen, Ida K.; Berenbaum, Francis; Bay-Jensen, Anne-C.; Ladel, Christoph; Lalande, Agnes; Larkin, Jonathan; Loughlin, John; Mobasheri, Ali; Weinans, Harrie; Widera, Pawel; Bacardit, Jaume; Welsing, Paco M.J.; Lafeber, Floris P.J.G. (Oxford Academic, 2023-01)
      [Abstract] Objectives: The IMI-APPROACH knee osteoarthritis study used machine learning (ML) to predict structural and/or pain progression, expressed by a structural (S) and pain (P) predicted-progression score, to select ...