Confirmed disability progression as a marker of permanent disability in multiple sclerosis

- Sharmin, Sifat, Bovis, Francesca, Duquette, Pierre, Onofrj, Marco, Lugaresi, Alessandra, Grand'Maison, Francois, Grammond, Pierre, Sola, Patrizia, Ferraro, Diana, Terzi, Murat, Gerlach, Oliver, Alroughani, Raed, Malpas, Charles, Boz, C, Shaygannejad, V, van Pesch, V, Cartechini, E, Kappos, L, Lechner-Scott, Jeanette, Bergamaschi, R, Turkoglu, R, Solaro, C, Iuliano, G, Horakova, Dana, Granella, F, Van Wijmeersch, B, Spitaleri, D, Slee, M, McCombe, P, Prevost, J, Ampapa, R, Ozakbas, S, Sanchez-Menoyo, JL, Soysal, A, Havrdova, Eva Kubala, Vucic, S, Petersen, T, de Gans, K, Butler, E, Hodgkinson, S, Sidhom, Y, Gouider, R, Cristiano, E, Castillo-Trivino, T, Saladino, ML, Izquierdo, Guillermo, Barnett, M, Moore, F, Rozsa, C, Yamout, B, Skibina, O, van der Walt, A, Buzzard, K, Gray, O, Hughes, S, Sempere, AP, Eichau, Sara, Singhal, B, Fragoso, Y, Shaw, C, Kermode, A, Taylor, B, Simo, M, Shuey, N, Al-Harbi, T, Macdonell, R, Dominguez, JA, Trojano, Maria, Csepany, T, Sirbu, CA, Sormani, MP, Butzkueven, H, Kalincik, T, Prat, Alexandre, Girard, Marc

Examining the environmental risk factors of progressive-onset and relapsing-onset multiple sclerosis: recruitment challenges, potential bias, and statistical strategies

- Li, Ying, Saul, Alice, Eichau, Sara, Onofrj, Marco, Ozakbas, Serkan, Horakova, Dana, Havrdova, Eva Kubala, Grand'Maison, Francois, Alroughani, Raed, Gerlach, Oliver, Amato, Maria Pia, Altintas, Ayse, Taylor, Bruce, Girard, M, Duquette, P, Blanco, Y, Ramo-Tello, C, Laureys, G, Kalincik, T, Khoury, SJ, Shaygannejad, V, Etemadifar, M, Singhal, B, Ponsonby, Anne-Louise, Mrabet, S, Foschi, M, Habek, M, John, N, Hughes, S, McCombe, P, Ampapa, R, van der Walt, A, Butzkueven, H, de Gans, K, Simpson-Yap, Steve, McGuigan, C, Oreja-Guevara, C, Sa, MJ, Petersen, T, Al-Harbi, T, Sempere, AP, Van Wijmeersch, B, Grigoriadis, N, Prevost, J, Gray, O, Blizzard, Leigh, Castillo-Trivino, T, Macdonell, R, Lugaresi, A, Sajedi, SA, van der Mei, I, Broadley, Simon, Lechner-Scott, Jeannette, Karabudak, Rana, Patti, Francesco

Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression

- De Brouwer, Edward, Becker, Thijs, Kappos, Ludwig, Sola, Patrizia, Cartechini, Elisabetta, Lechner-Scott, Jeannette, Alroughani, Raed, Gerlach, Oliver, Kalincik, Tomas, Granella, Franco, Grand'Maison, Francois, Bergamaschi, Roberto, Moreau, Yves, José Sá, M, Van Wijmeersch, B, Soysal, A, Sanchez-Menoyo, JL, Solaro, C, Boz, C, Iuliano, G, Buzzard, K, Aguera-Morales, E, Terzi, M, Havrdova, Eva Kubala, Trivio, TC, Spitaleri, D, Van Pesch, V, Shaygannejad, V, Moore, F, Oreja-Guevara, C, Maimone, D, Gouider, R, Csepany, T, Ramo-Tello, C, Trojano, Maria, Peeters, L, Eichau, Sara, Ozakbas, Serkan, Onofrj, Marco, Grammond, Pierre, Kuhle, Jens