• Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk 

      Groos, Daniel; Adde, Lars; Aubert, Sindre Aarnes; Boswell, Lynn; De Regnier, Raye-Ann; Fjørtoft, Toril Larsson; Gaebler-Spira, Deborah; Haukeland, Andreas; Loennecken, Marianne; Msall, Michael; Moinichen, Unn Inger; Pascal, Aurelie; Peyton, Colleen; Ramampiaro, Heri; Schreiber, Michael D.; Silberg, Inger Elisabeth; Songstad, Nils Thomas; Thomas, Niranjan; van den Broeck, Christine; Øberg, Gunn Kristin; Ihlen, Espen Alexander F.; Støen, Ragnhild (Peer reviewed; Journal article, 2022)
      Importance Early identification of cerebral palsy (CP) is important for early intervention, yet expert-based assessments do not permit widespread use, and conventional machine learning alternatives lack validity. Objective ...
    • Opportunistic infections in immunosuppressed patients with juvenile idiopathic arthritis: analysis by the Pharmachild Safety Adjudication Committee. 

      Giancane, Gabriella; Swart, Joost Frans; Castagnola, E; Groll, Andreas; Horneff, Gerd; Huppertz, Hans-Iko; Lovell, Daniel J.; Wolfs, T.; Herlin, T; Dolezalova, Pavla; Sanner, Helga; Susic, Gordana; Sztajnbok, Flavio; Maritsi, Despoina; Constantin, Tamás; Vargova, Veronika; Sawhney, Sujata; Rygg, Marite; Oliveira, Sheila K.; Cattalini, Marco; Bovis, Francesca; Bagnasco, Francesca; Pistorio, Angela; Martini, Alberto; Wulffraat, Nico; Ruperto, Nicolino (Peer reviewed; Journal article, 2020)
      Background: To derive a list of opportunistic infections (OI) through the analysis of the juvenile idiopathic arthritis (JIA) patients in the Pharmachild registry by an independent Safety Adjudication Committee (SAC). ...