Repositorio Dspace

Listar por autor "Habek, Mario"

Listar por autor "Habek, Mario"

Ordenar por:Orden:Resultados:

  • Four years on: Pregnancy and birth outcomes reported in the MSBase pregnancy, neonatal outcomes, and Women's Health Registry (2020-2024) 
    Jokubaitis, Vilija-G; Alroughani, Raed; Altintas, Ayse; Eichau, Sara; Hughes, Stella; Willekens, Barbara; Horakova, Dana; Kubala-Havrdova, Eva; Ozakbas, Serkan; Boz, Cavit; Habek, Mario; Kalincik, Tomas; Roos, Izanne; Etemadifar, Masoud; Peterka, Marek; Lechner-Scott, Jeannette; Meca-Lallana, José-Eustasio; Rous, Zuzana; Houskova, Jana; Prat, Alexandre; Girard, Marc; Ampapa, Radek; Buzzard, Katherine; Skibina, Olga; John, Nevin-A; Kermode, Allan-G; Fabis-Pedrini, Marzena-J; Foschi, Matteo; Surcinelli, Andrea; Blanco, Yolanda; Baghbanian, Seyed-Mohammad; Gerlach, Oliver; Macdonell, Richard; Pavelek, Zbysek; Stourac, Pavel; McCombe, Pamela; Laureys, Guy; Butzkueven, Helmut; van-der-Walt, Anneke; Gray, Orla (SAGE PUBLICATIONS LTD, 2025-08)
    BACKGROUND: Family planning is an important aspect of multiple sclerosis (MS), and neuromyelitis optica spectrum disorder (NMOSD) management. Knowledge gaps remain, including optimal perinatal management strategies, and ...
  • Predicting disease progression in multiple sclerosis with clinically accessible information and technology 
    Fuchs, Tom-A-N; Schoonheim, Menno-M; Strijbis, Eva-M-M; Jelgerhuis, Julia-R; Horakova, Dana; Havrdova, Eva-K; Uher, Tomas; Zivadinov, Robert; Ozakbas, Serkan; Girard, Marc; Alroughani, Raed; Grammond, Pierre; Lugaresi, Alessandra; Tomassini, Valentina; Kalincik, Tomas; Roos, Izanne; Gerlach, Oliver; van-der-Walt, Anneke; Khoury, Samia-J; van-Pesch, Vincent; Surcinelli, Andrea; Foschi, Matteo; Sa, María-José; D'amico, Emanuele; Kuhle, Jens; Cartechini, Elisabetta; Maimone, Davide; Karabudak, Rana; Soysal, Aysun; Spitaleri, Daniele; Laureys, Guy; Taylor, Bruce; D'hooghe, Marie; Ampapa, Radek; Castillo-Triviño, Tamara; Altintas, Ayse; Gray, Orla; Gouider, Riadh; Meca-Lallana, José-Eustasio; Kermode, Allan-G; Fabis-Pedrini, Marzena; Carroll, William-M; de-Gans, Koen; Sánchez-Menoyo, José-Luis; Etemadifar, Masoud; Al-Asmi, Abdullah; McCombe, Pamela; Simu, Mihaela; Yetkin, Mehmet-Fatih; Al-Harbi, Talal; Csepany, Tunde; Lalive, Patrice; Hardy, Todd-A; Ramanathan, Sudarshini; Willekens, Barbara; Pérez-Sempere, Ángel; Cárdenas-Robledo, Simón; Habek, Mario; Singhal, Bhim; Grigoriadis, Nikolaos; Simo, Magdolna; Shaygannejad, Vahid; Blanco, Yolanda; Agüera-Morales, Eduardo; Garber, Justin; Solaro, Claudio; Shuey, Neil; Khurana, Dheeraj; Decoo, Danny; Moghadasi, Abdorreza-Naser; Buzzard, Katherine; Skibina, Olga; John, Nevin; Petersen, Thor; Weinstock-Guttman, Bianca (SPRINGER HEIDELBERG, 2026-05)
    BACKGROUND: Predicting disease progression at the individual level is essential for personalized medicine. We previously developed machine-learning tools to estimate 5-year progression risk in people with multiple sclerosis ...