Search Results - "D'hondt, Robbe"

Comparison between the EKFC-equation and machine learning models to predict Glomerular Filtration Rate

Nakano, Felipe Kenji, Åkesson, Anna, de Boer, Jasper, Dedja, Klest, D’hondt, Robbe, Haredasht, Fateme Nateghi, Björk, Jonas, Courbebaisse, Marie, Couzi, Lionel, Ebert, Natalie, Eriksen, Björn O., Dalton, R. Neil, Derain-Dubourg, Laurence, Gaillard, Francois, Garrouste, Cyril, Grubb, Anders, Jacquemont, Lola, Hansson, Magnus, Kamar, Nassim, Legendre, Christophe, Littmann, Karin, Mariat, Christophe, Melsom, Toralf, Rostaing, Lionel, Rule, Andrew D., Schaeffner, Elke, Sundin, Per Ola, Bökenkamp, Arend, Berg, Ulla, Åsling-Monemi, Kajsa, Selistre, Luciano, Larsson, Anders, Nyman, Ulf, Lanot, Antoine, Pottel, Hans, Delanaye, Pierre, Vens, Celine

Lund University, Lund University School of Economics and Management, LUSEM, Centre for Economic Demography, Lunds universitet, Ekonomihögskolan, Centrum för ekonomisk demografi, Originator, Lund University, Faculty of Medicine, Department of Laboratory Medicine, Division of Occupational and Environmental Medicine, Lund University, EPI@LUND, Lunds universitet, Medicinska fakulteten, Institutionen för laboratoriemedicin, Avdelningen för arbets- och miljömedicin, EPI@LUND, Originator, Lund University, Faculty of Medicine, Department of Laboratory Medicine, Division of Occupational and Environmental Medicine, Lund University, Lunds universitet, Medicinska fakulteten, Institutionen för laboratoriemedicin, Avdelningen för arbets- och miljömedicin, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), eSSENCE: The e-Science Collaboration, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), eSSENCE: The e-Science Collaboration, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), EpiHealth: Epidemiology for Health, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), EpiHealth: Epidemiology for Health, Originator, Lund University, Faculty of Medicine, Department of Laboratory Medicine, Division of Clinical Chemistry and Pharmacology, Cystatin C, renal disease, amyloidosis and antibiotics, Lunds universitet, Medicinska fakulteten, Institutionen för laboratoriemedicin, Avdelningen för klinisk kemi och farmakologi, Cystatin C, njursjukdom, amyloidos och antibiotika, Originator, Lund University, Faculty of Medicine, Department of Translational Medicine, Radiology Diagnostics, Malmö, Lunds universitet, Medicinska fakulteten, Institutionen för translationell medicin, Diagnostisk radiologi, Malmö, Originator, Lund University, Profile areas and other strong research environments, Other Strong Research Environments, LUCC: Lund University Cancer Centre, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Övriga starka forskningsmiljöer, LUCC: Lunds universitets cancercentrum, Originator

CHIT1 at diagnosis predicts faster disability progression and reflects early microglial activation in multiple sclerosis

Beliën, Jarne, Swinnen, Stijn^{Aff1, Aff2}, D’hondt, Robbe^{Aff3, Aff4}, Verdú de Juan, Laia, Dedoncker, Nina, Matthys, Patrick, Bauer, Jan, Vens, Celine^{Aff3, Aff4}, Moylett, Sinéad, Dubois, Bénédicte^{Aff1, Aff2, IDs4146702449312y_cor10}

Explainable time-to-progression predictions in multiple sclerosis

D’hondt, Robbe ^{1, 2, ⁎, a}, Dedja, Klest ^{1, 2, a}, Aerts, Sofie ^{3, 4, 5, 6}, Van Wijmeersch, Bart ^{3, 4, 5, 6}, Kalincik, Tomas ^{7, 8}, Reddel, Stephen ⁹, Havrdova, Eva Kubala ¹⁰, Lugaresi, Alessandra ^{11, 12}, Weinstock-Guttman, Bianca ¹³, Mrabet, Saloua ^{14, 15}, Lalive, Patrice ¹⁶, Kermode, Allan G. ^{17, 18}, Ozakbas, Serkan ^{19, 20}, Patti, Francesco ^{21, 22}, Prat, Alexandre ²³, Tomassini, Valentina ^{24, 25}, Roos, Izanne ^{7, 8}, Alroughani, Raed ²⁶, Gerlach, Oliver ^{27, 28}, Khoury, Samia J. ²⁹, van Pesch, Vincent ^{30, 31}, Sá, Maria José ^{32, 33, 34, 35}, Prevost, Julie ³⁶, Spitaleri, Daniele ³⁷, McCombe, Pamela ^{38, 39}, Solaro, Claudio ^{40, 41}, van der Walt, Anneke ^{42, 43}, Butzkueven, Helmut ^{42, 43}, Laureys, Guy ⁴⁴, Sánchez-Menoyo, José Luis ^{45, 46}, de Gans, Koen ⁴⁷, Al-Asmi, Abdullah ^{48, 49}, Deri, Norma ⁵⁰, Csepany, Tunde ⁵¹, Al-Harbi, Talal ⁵², Carroll, William M. ^{17, 53}, Rozsa, Csilla ⁵⁴, Singhal, Bhim ⁵⁵, Hardy, Todd A. ⁹, Ramanathan, Sudarshini ^{56, 57}, Peeters, Liesbet ^{3, 4, 58}, Vens, Celine ^{1, 2}

A Binning Approach for Predicting Long-Term Prognosis in Multiple Sclerosis

D’hondt, Robbe^{Aff11, Aff12}, Moylett, Sinéad^Aff13, Goris, An^Aff13, Vens, Celine^{Aff11, Aff12}

Goos, Gerhard, Founding Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Yung, Moti, Editorial Board Member^Aff6, Juarez, Jose M., editor^Aff7, Marcos, Mar, editor^Aff8, Stiglic, Gregor, editor^Aff9, Tucker, Allan, editor^Aff10

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