Dipòsit Digital de Documents de la UAB 4 registres trobats  La cerca s'ha fet en 0.00 segons. 
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18 p, 851.1 KB Clinical outcome measures in dementia with Lewy bodies trials : critique and recommendations / Rodriguez-Porcel, Federico (Medical University of South Carolina) ; Wyman-Chick, Kathryn A. (HealthPartners) ; Abdelnour, Carla (Universitat Autònoma de Barcelona) ; Toledo, Jon B. (University of Florida) ; Ferreira, Daniel (Mayo Clinic) ; Urwyler, Prabitha (University of Bern) ; Weil, Rimona S. (University College London) ; Kane, Joseph (Queen's University) ; Pilotto, Andrea (University of Brescia) ; Rongve, Arvid (The University of Bergen) ; Boeve, Bradley (Mayo Clinic) ; Taylor, John-Paul (Newcastle University) ; McKeith, Ian (Newcastle University) ; Aarsland, Dag (King's College London) ; Lewis, Simon J. G. (University of Sydney)
The selection of appropriate outcome measures is fundamental to the design of any successful clinical trial. Although dementia with Lewy bodies (DLB) is one of the most common neurodegenerative conditions, assessment of therapeutic benefit in clinical trials often relies on tools developed for other conditions, such as Alzheimer's or Parkinson's disease. [...]
2022 - 10.1186/s40035-022-00299-w
Translational Neurodegeneration, Vol. 11 (may 2022)  
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1 p, 574.4 KB Correction : Clinical outcome measures in dementia with Lewy bodies trials: critique and recommendations / Rodriguez-Porcel, Federico (Medical University of South Carolina) ; Wyman-Chick, Kathryn A. (HealthPartners) ; Abdelnour, Carla (Universitat Autònoma de Barcelona) ; Toledo, Jon B. (University of Florida) ; Ferreira, Daniel (Mayo Clinic) ; Urwyler, Prabitha (University of Bern) ; Weil, Rimona S. (University College London) ; Kane, Joseph (Queen's University) ; Pilotto, Andrea (University of Brescia) ; Rongve, Arvid (The University of Bergen) ; Boeve, Bradley (Mayo Clinic) ; Taylor, John-Paul (Newcastle University) ; McKeith, Ian (Newcastle University) ; Aarsland, Dag (King's College London) ; Lewis, Simon J. G. (University of Sydney)
The selection of appropriate outcome measures is fundamental to the design of any successful clinical trial. Although dementia with Lewy bodies (DLB) is one of the most common neurodegenerative conditions, assessment of therapeutic benefit in clinical trials often relies on tools developed for other conditions, such as Alzheimer's or Parkinson's disease. [...]
2022 - 10.1186/s40035-022-00306-0
Translational Neurodegeneration, Vol. 11 (may 2022)  
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15 p, 294.1 KB The reliability of a deep learning model in clinical out-of-distribution MRI data : A multicohort study / Mårtensson, Gustav (Karolinska Institutet (Estocolm, Suècia)) ; Ferreira, Daniel (Karolinska Institutet (Estocolm, Suècia)) ; Granberg, Tobias (Karolinska University Hospital and Karolinska Institutet (Suecia)) ; Cavallin, Lena (Karolinska University Hospital and Karolinska Institutet (Suecia)) ; Oppedal, Ketil (University of Stavanger) ; Padovani, Alessandra (University of Brescia) ; Rektorova, Irena (Masaryk University) ; Bonanni, Laura (University G d'Annunzio of Chieti-Pescara) ; Pardini, Matteo (University of Genoa and Neurology Clinics) ; Kramberger, Milica G. (Univerza V Ljubljani) ; Taylor, John-Paul (Newcastle University) ; Hort, Jakub (Charles University) ; Snædal, Jón (Landspitali University Hospital (Reykjavík, Islàndia)) ; Kulisevsky, Jaime (Institut d'Investigació Biomèdica Sant Pau) ; Blanc, Frederic (University of Strasbourg and French National Centre for Scientific Research (CNRS)) ; Antonini, Angelo (University of Padua) ; Mecocci, Patrizia (University of Perugia) ; Vellas, Bruno (University of Toulouse) ; Tsolaki, Magda (3rd Aristotle University of Thessaloniki) ; Kłoszewska, Iwona (Medical University of Lodz) ; Soininen, H. (Kuopio University Hospital ( Finlàndia)) ; Lovestone, S. (University of Oxford) ; Simmons, A. (King's College London) ; Aarsland, Dag (King's College London) ; Westman, Eric (King's College London) ; Universitat Autònoma de Barcelona
Deep learning (DL) methods have in recent years yielded impressive results in medical imaging, with the potential to function as clinical aid to radiologists. However, DL models in medical imaging are often trained on public research cohorts with images acquired with a single scanner or with strict protocol harmonization, which is not representative of a clinical setting. [...]
2020 - 10.1016/j.media.2020.101714
Medical Image Analysis, Vol. 66 (december 2020) , p. 101714  
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18 p, 3.6 MB hnRNPDL phase separation is regulated by alternative splicing and disease-causing mutations accelerate its aggregation / Batlle Carreras, Cristina (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí") ; Yang, Peiguo (St. Jude Children's Research Hospital (Memphis, Estats Units d'Amèrica)) ; Coughlin, Maura (St. Jude Children's Research Hospital (Memphis, Estats Units d'Amèrica)) ; Messing, James (Howard Hughes Medical Institute) ; Pesarrodona Roches, Mireia (Institut de Recerca Biomèdica de Lleida) ; Szulc, Elzbieta (Institut de Recerca Biomèdica de Lleida) ; Salvatella, Xavier (Institut de Recerca Biomèdica de Lleida) ; Kim, Hong Joo (St. Jude Children's Research Hospital (Memphis, Estats Units d'Amèrica)) ; Taylor, J. Paul (Howard Hughes Medical Institute) ; Ventura, Salvador (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Prion-like proteins form multivalent assemblies and phase separate into membraneless organelles. Heterogeneous ribonucleoprotein D-like (hnRNPDL) is a RNA-processing prion-like protein with three alternative splicing (AS) isoforms, which lack none, one, or both of its two disordered domains. [...]
2020 - 10.1016/j.celrep.2019.12.080
Cell reports, Vol. 30, issue 4 (Jan. 2020) , p. 1117-1128  

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