Results 161 to 170 of about 4,469,777 (359)

Precision‐Optimised Post‐Stroke Prognoses

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope, Howard Bowman, Rachel M. Bruce, Alex P. Leff, Cathy J. Price   +4 more
wiley   +1 more source

Bloch-to-Hardy composition operators

Open Mathematics, 2013
Doubtsov Evgueni, Petrov Andrei
doaj   +1 more source

Compact weighted composition operators on Banach lattices [PDF]

, 1990
William Feldman
openalex   +1 more source

Actionable Wearables Data for the Neurology Clinic: A Proof‐of‐Concept Tool

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Wearable devices can monitor key health and fitness domains. In multiple sclerosis (MS), monitoring step count and sleep is feasible, valid, and offers a holistic glimpse of patient functioning and worsening. However, data generated from wearables are typically unavailable at the point of care.
Nicolette Miller, Ebenezer Chinedu‐Eneh, Jaeleene Wijangco, Kyra Henderson, Nikki Sisodia, Narender Sara, Jennifer Reihm, Shane Poole, Jim Rowson, Chu‐Yueh Guo, Jeffrey M. Gelfand, Valerie J. Block, Riley Bove   +12 more
wiley   +1 more source

Extremal Disks and Composition Operators on Convex Domains in $\c^n$ [PDF]

, 1994
Peter R. Mercer
openalex   +1 more source

Influence of Dystrophin Isoform Deficiency on Motor Development in Duchenne Muscular Dystrophy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective In Duchenne muscular dystrophy (DMD), lack of the shorter dystrophin isoforms Dp140 and Dp71 is associated with increased central nervous system (CNS) involvement. We aimed to investigate how CNS involvement affects motor development in young DMD boys.
Mary Chesshyre, Deborah Ridout, Georgia Stimpson, Laurent Servais, Giovanni Baranello, Adnan Manzur, UK NorthStar Clinical Network, M. Scoto, A. Sarkozy, P. Munot, S. Robb, E. Chan, V. Robinson, W. Girshab, V. Crook, E. Milev, L. Abbott, A. Wolfe, E. O’Reilly, J. Watts‐Whent, N. Burnett, R. Thomas, R. Terespolsky, O. Martinaeu, J. Longatto, V. Straub, C. Bettolo, M. Guglieri, J. Diaz‐Manera, G. Tasca, M. Elseed, R. Muni‐Lofra, M. James, D. Moat, J. Sodhi, K. Wong, E. Robinson, E. Groves, R. Rabb, D. Parasuraman, H. McMurchie, H. Chase, Tracey Willis, C. Rylance, N. Birchall, E. Wright, A. Childs, K. Pysden, C. Martos, D. Roberts, L. Pallant, S. Walker, A. Henderson, R. Madhu, R. Karuvattil, Y. Balla, S. Gregson, S. Clark, E. Wraige, H. Jungbluth, V. Gowda, M. Vanegas, J. Sheehan, A. Schofield, C. Smith, I. Hughes, E. Whitehouse, S. Warner, E. Reading, N. Emery, J. Moustoukas, K. Strachan, M. Ong, M. Atherton, N. Mills, S. Sanchez Marco, A. Saxena, K. Skone, J. TeWaterNaude, H. Davis, C. Wood, A. Majumdar, A. Murugan, I. Guarino, R. Tomlinson, H. Jarvis, L. Wills, C. Frimpong, J. Watson, G. Cobb, G. Robertson, P. Brink, J. Burslem, C. Adams, J. Wong, S. Joseph, I. Horrocks, J. Dunne, M. DiMarco, S. Brown, S. McKenzie, K. Torne, R. Mohamed, V. Velmurugan, M. Prasad, S. Sedehizadeh, A. Schugal, R. Keetley, S. Williamson, K. Payne, E. Dowling, P. Fenty, C. de Goede, A. Parkes, K. Baxter, M. Illingworth, N. Bhangu, S. Geary, J. Palmer, K. Shill, S. Tirupathi, A. Shah, D. O’Donogue, J. McVeigh, J. McFetridge, G. Nicfhirleinn, H. Beattie, T. Leyland, K. Stevenson, N. Hussain, D. Baskaran, Z. Lambat, R. Sullivan, L. Locke, G. Ambegaonkar, D. Krishnakumar, J. Taylor, J. Moores, E. Stephen, J. Tewnion, S. Ramdas, M. Sa, A. Skippen, M. Khries, C. Lilien, H. Ramjattan, F. Taylor, H. English, K. Stewart, F. Flint, E. Bartram, R. Noble, Francesco Muntoni   +152 more
wiley   +1 more source

Cyclic Composition Operators on Smooth Weighted Hardy Spaces [PDF]

, 1999
Nina Zorboska
openalex   +1 more source

Genetic Diversity and Expanded Phenotypes in Dystonia: Insights From Large‐Scale Exome Sequencing

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Dystonia is one of the most prevalent movement disorders, characterized by significant clinical and etiological heterogeneity. Despite considerable heritability (~25%), the etiology in most patients remains elusive. Moreover, understanding correlations between clinical manifestations and genetic variants has become increasingly ...
Mirja Thomsen, Fabian Ott, Sebastian Loens, Gamze Kilic‐Berkmen, Ai Huey Tan, Shen‐Yang Lim, Ebba Lohmann, Kaja M. Schröder, Lea Ipsen, Lena A. Nothacker, Linn Welzel, Alexandra S. Rudnik, Frauke Hinrichs, Thorsten Odorfer, Kirsten E. Zeuner, Friederike Schumann, Andrea A. Kühn, Simone Zittel, Marius Moeller, Robert Pfister, Christoph Kamm, Anthony E. Lang, Yi Wen Tay, Ana Luísa de Almeida Marcelino, Marie Vidailhet, Emmanuel Roze, Joel S. Perlmutter, Jeanne S. Feuerstein, Victor S. C. Fung, Florence Chang, Richard L. Barbano, Steven Bellows, Aparna A. Wagle Shukla, Alberto J. Espay, Mark S. LeDoux, Brian D. Berman, Stephen Reich, Andres Deik, Andre Franke, Michael Wittig, Sören Franzenburg, Jens Volkmann, Norbert Brüggemann, H. A. Jinnah, Tobias Bäumer, Christine Klein, Hauke Busch, Katja Lohmann   +47 more
wiley   +1 more source

Fixel‐Based Analysis of Diffusion Imaging as a Quantitative Marker of Disease State in Spinocerebellar Ataxia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxias (SCAs) are a group of genetically heterogeneous neurodegenerative diseases causing progressive deterioration and reduced quality of life. Therapeutic advances have been limited by a lack of sensitive anatomic, functional, or diffusion imaging‐based biomarkers.
David J. Arpin, S. H. Subramony, the READISCA Consortium, David E. Vaillancourt, Tetsuo Ashizawa, Alexandra Durr, Thomas Mareci, Thomas Klockgether, Jennifer Faber, Henry L. Paulson, Gülin Öz, Matthew R. Burns   +11 more
wiley   +1 more source

A Validated Model to Predict Severe Weight Loss in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Severe weight loss in amyotrophic lateral sclerosis (ALS) is common, multifactorial, and associated with shortened survival. Using longitudinal weight data from over 6000 patients with ALS across three cohorts, we built an accelerated failure time model to predict the risk of future severe (≥ 10%) weight loss using five single‐timepoint ...
David G. Lester, Kevin Talbot, Martin R. Turner, Alexander G. Thompson, the Pooled Resource Open‐Access ALS Clinical Trials Consortium   +4 more
wiley   +1 more source