Results 161 to 170 of about 1,918,144 (294)

Developmental, Neuroanatomical and Cellular Expression of Genes Causing Dystonia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Dystonia is one of the most common movement disorders, with variants in multiple genes identified as causative. However, an understanding of which developmental stages, brain regions, and cell types are most relevant is crucial for developing relevant disease models and therapeutics.
Darren Cameron, Nicholas E. Clifton, Daniel Cabezas de la Fuente, Peter Holmans, Nicholas J. Bray, Kathryn J. Peall   +5 more
wiley   +1 more source

Supersemantics for Knowledge Extraction [PDF]

, 2015
Philipp Blohm
openalex  

ALS With and Without Upper Motor Neuron Signs: A Comparative Study Supporting the Gold Coast Criteria

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The Gold Coast criteria permit diagnosis of amyotrophic lateral sclerosis (ALS) even without upper motor neuron (UMN) signs. However, whether ALS patients with UMN signs (ALSwUMN) and those without (ALSwoUMN) share similar characteristics and prognoses remains unclear.
Hee‐Jae Jung, E‐nae Cheong, Jungmin So, Heung‐Won Kang, Yangsean Choi, Eun‐Jae Lee, Hyunjin Kim, Young‐Min Lim   +7 more
wiley   +1 more source

Cutaneous Phosphorylated Alpha‐Synuclein in Lewy Body Dementia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine the test performance of cutaneous phosphorylated alpha‐synuclein (P‐SYN) in dementia with Lewy bodies (DLB), individuals with reduced Montreal Cognitive Assessment (MoCA) and healthy controls. Methods This is the first subgroup analysis of the Synuclein‐One study, a prospective, blinded study evaluating P‐SYN detection ...
Christopher H. Gibbons, Todd Levine, Charles H. Adler, Bailey Bellaire, Ningshan Wang, Pinky Agarwal, Georgina M. Aldridge, Alexandru Barboi, Daniel Claassen, Virgilio G. H. Evidente, Douglas Galasko, Alejandra Gonzalez‐Duarte, Ramon Gil, Mark Gudesblatt, Stuart H. Isaacson, Horacio Kaufmann, Pravin Khemani, Rajeev Kumar, Guillaume Lamotte, Andy J. Liu, Nikolaus R. McFarland, Mitchell G. Miglis, Adam Reynolds, Gregory A. Sahagian, Marie‐Helene Saint‐Hilaire, Julie B. Schwartzbard, Wolfgang Singer, Michael J. Soileau, Steven Vernino, Patricio Millar Vernetti, Oleg Yerstein, Roy Freeman   +31 more
wiley   +1 more source

Automated knowledge extraction from polymer literature using natural language processing. [PDF]

iScience, 2021
Shetty P, Ramprasad R.
europepmc   +1 more source

Patterns of Postictal Abnormalities in Relation to Status Epilepticus in Adults

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Abnormalities on peri‐ictal diffusion‐weighted magnetic resonance imaging (DWI‐PMAs) are well‐established for patients with status epilepticus (SE), but knowledge on patterns of DWI‐PMAs and their prognostic impact is sparse. Methods This systematic review and individual participant data meta‐analysis included observational studies ...
Andrea Enerstad Bolle, Silvana Sarria‐Estrada, Thomas Bonduelle, Bertram Daniel Dynesen, Manuel Toledo, Zhu Chung Che, Kjell Heuser, Anastasios Chatzikonstantinou, Jérôme Aupy, Udaya Seneviratne, Estevo Santamarina Perez, Christoph Patrick Beier   +11 more
wiley   +1 more source

KEDformer: Knowledge extraction seasonal trend decomposition for long-term sequence prediction. [PDF]

PLoS One
Qin Z, Wei B, Gao C, Ni J.
europepmc   +1 more source

Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data. [PDF]

NPJ Digit Med, 2021
Hong C, Rush E, Liu M, Zhou D, Sun J, Sonabend A, Castro VM, Schubert P, Panickan VA, Cai T, Costa L, He Z, Link N, Hauser R, Gaziano JM, Murphy SN, Ostrouchov G, Ho YL, Begoli E, Lu J, Cho K, Liao KP, Cai T, VA Million Veteran Program.   +23 more
europepmc   +1 more source

Machine Learning and Knowledge Extraction

, 2023
Andreas Holzinger, Peter Kieseberg, Federico Cabitza, Andrea Campagner, A Min Tjoa, Edgar Weippl   +5 more
openalex   +1 more source

Characterization of Clinical Phenotype to Glial Fibrillary Acidic Protein Concentrations in Alexander Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine the concentration of glial fibrillary acidic protein (GFAP) in cerebrospinal fluid (CSF) and plasma in Alexander disease (AxD) and whether GFAP levels are predictive of disease phenotypes. Methods CSF and plasma were collected (longitudinally when available) from AxD participants and non‐AxD controls.
Amy T. Waldman, Asako Takanohashi, Joshua Y. Joung, Geraldine W. Liu, Kaley Arnold, Amy Pizzino, Walter Faig, Sarah Woidill, Sona Narula, Adeline L. Vanderver   +9 more
wiley   +1 more source