Results 191 to 200 of about 977,784 (305)

ICU‐EEG Pattern Detection by a Convolutional Neural Network

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano, Hervé Quintard, Andreas Kleinschmidt, Nikita Francini, Oana E. Sarbu, Pia De Stefano   +5 more
wiley   +1 more source

Does the Forensic Filler-Control Method Reduce Examiner Overconfidence? An Experimental Investigation Using Mock Fingerprint Examiners. [PDF]

Behav Sci (Basel)
Rath HJ, Rocha B, Smith AM, Smalarz L.
europepmc   +1 more source

Long‐Term Evaluation of Givinostat in Duchenne Muscular Dystrophy, and Natural History Comparisons

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives This ongoing, open‐label extension study is evaluating the long‐term safety, tolerability, and efficacy of givinostat, a Class I and II histone deacetylase inhibitor, in patients with Duchenne muscular dystrophy (DMD). Methods The recruited patients completed one of two prior clinical studies (one Phase 2 and one Phase 3 [EPIDYS ...
Craig M. McDonald, Michela Guglieri, Dragana Vučinić, Gyula Acsadi, John F. Brandsema, Claudio Bruno, Erika L. Finanger, Amy Harper, Mercedes Lopez Lobato, Riccardo Masson, Nuria Muelas, Francina Munell, Yoram Nevo, Yann Péréon, Han Phan, Valeria A. Sansone, Mariacristina Scoto, Tracey Willis, Richard S. Finkel, Krista Vandenborne, Sara Cazzaniga, Silvia Montrasio, Federica Alessi, Paolo Bettica, Eugenio Mercuri, for the Givinostat Study 51 Investigators, the Cooperative International Neuromuscular Research Group (CINRG) Duchenne Natural History Study (DNHS) Investigators, the ImagingDMD Investigators, Enrico Bertini, Giacomo Pietro Comi, Eugenio Maria Mercuri, Giuseppe Vita, Sonia Messina, Claudio Bruno, Riccardo Masson, Valeria Sansone, Nathalie Goemans, Liesbeth De Waele, Laurent Servais, Teresa Gidaro, Odile Boespflug‐Tanguy, Yann Péréon, Jessika Johannsen, Astrid Blaschek, Ulrike Schara‐Schmidt, Erik Niks, Imelda de Groot, Saskia Houwen‐van Opstal, Andres Nascimento, Juan Jesus Vilchez, Nuria Muelas, Francina Munell, Marcos Madruga Garrido, Mercedes Lopez Lobato, Michaela Guglieri, Tracey Willis, Stefan Spinty, Daniel Hawcutt, Mariacristina Scoto, Jean K. Mah, Laura McAdam, Kathryn Selby, Katherine Mathews, Craig McDonald, Craig Zaidman, Barry Byrne, John Brandsema, Gyula Acsadi, Chamindra Laverty, Amy Harper, Erika Finanger, Han Phan, Yoram Nevo, Vedrana Milic Rasic, Dragana Vucinic   +74 more
wiley   +1 more source

Online Stochastic Matching: Online Actions Based on Offline Statistics

, 2010
Vahideh Manshadi, Shayan Oveis Gharan, Amin Saberi   +2 more
openalex   +2 more sources

PHONI: Streamed Matching Statistics with Multi-Genome References

, 2020
Christina Boucher, Travis Gagie, I Tomohiro, Dominik Köppl, Ben Langmead, Giovanni Manzini, Gonzalo Navarro, Alejandro Gustavo Vigo Pacheco, Massimiliano Rossi   +8 more
openalex   +2 more sources

Functional Connectivity Associations With Markers of Disease Progression in GRN Pathogenic Variant Carriers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autosomal dominant progranulin (GRN) pathogenic variants are a genetic cause of frontotemporal lobar degeneration. Though clinical trials for GRN‐related therapies are underway, there is an unmet need for biomarkers that can predict symptom onset and track disease progression.
Taru M. Flagan, Stephanie A. Chu, Suvi Häkkinen, Liwen Zhang, David McFall, Jonathan D. Rohrer, Jesse A. Brown, Alex J. Lee, Kristen Fernhoff, Lorenzo Pasquini, Katherine P. Rankin, Maria Luisa Mandelli, Maria Luisa Gorno‐Tempini, Jennifer S. Yokoyama, Virginia E. Sturm, Brian Appleby, Bradford C. Dickerson, Kimiko Domoto‐Reilly, Tatiana Foroud, Daniel H. Geschwind, Nupur Ghoshal, Neill R. Graff‐Radford, Ging‐Yuek Robin Hsiung, Eric J. Huang, Edward Huey, Kejal Kantarci, Irene Litvan, Ian R. Mackenzie, Mario F. Mendez, Chiadi U. Onyike, Leonard Petrucelli, Eliana Marisa Ramos, Erik D. Roberson, Julio C. Rojas, Maria Carmela Tartaglia, Arthur W. Toga, Sandra Weintraub, Leah K. Forsberg, Hilary W. Heuer, Brad F. Boeve, Adam L. Boxer, Howard J. Rosen, Bruce L. Miller, Fermin Moreno, William W. Seeley, Suzee E. Lee, on behalf of the ALLFTD Consortium   +46 more
wiley   +1 more source

An innovative efficiency of incubator to enhance organization supportive business using machine learning approach. [PDF]

PLoS One
Li X, Zhang Q, Gu H, Othmen S, Asklany S, Lhioui C, Elrashidi A, Mercorelli P.   +7 more
europepmc   +1 more source

Relative luminance and binocular disparity preferences are correlated in macaque primary visual cortex, matching natural scene statistics

, 2012
Jason M. Samonds, Brian Potetz, Tai Sing Lee   +2 more
openalex   +1 more source

Online Stochastic Matching: Online Actions Based on Offline Statistics [PDF]

, 2011
Vahideh Manshadi, Shayan Oveis Gharan, Amin Saberi   +2 more
openalex   +1 more source

Cognitive Impairment in Multiple Sclerosis: The Role of Clinical and Sociodemographic Factors ‐ A Systematic Review and Meta‐Analysis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive impairment (CI) affects the quality of life in multiple sclerosis (MS). Identifying influencing factors is key to improving CI monitoring. This systematic review and meta‐analysis examines clinical and sociodemographic variables impacting the cognitive screening Symbol Digit Modalities Test (SDMT) performance across MS ...
Katalin Lugosi, Marie A. Engh, Tamás Kói, Zsolt Molnár, Gábor Csukly, Klaudia Horváth, Emma Hargitai, Péter Hegyi, Zsolt Mezei   +8 more
wiley   +1 more source