Results 181 to 190 of about 662,113 (303)

Clinical Validation of Plasma p‐217tau in Neurological Diseases

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma p‐217tau is a minimally invasive but specific biomarker for diagnosing Alzheimer's disease (AD). However, its disease specificity remains to be clinically evaluated. We validated the reliability of the p‐217tau biomarker in 12 other neurological diseases.
Takeshi Kawarabayashi, Takumi Nakamura, Ryoma Takahashi, Tetsuya Ueda, Seiji Kinoshita, Chikage Uchida, Takashi Sugawara, Kentaro Hashimoto, Kunihiko Ishizawa, Masakuni Amari, Hiroo Kasahara, Yoshio Ikeda, Masamitsu Takatama, Mikio Shoji   +13 more
wiley   +1 more source

Dengue Severity Prediction in a Hyperendemic Region in Colombia. [PDF]

Viruses
Salazar Flórez JE, Marín Velasquez K, Giraldo Cardona LS, Segura Cardona ÁM, Restrepo Jaramillo BN, Arboleda M.   +5 more
europepmc   +1 more source

A fully automated approach involving neuroimaging and deep learning for Parkinson's disease detection and severity prediction. [PDF]

PeerJ Comput Sci, 2023
Erdaş ÇB, Sümer E.
europepmc   +1 more source

Minimally Clinically Important Difference of the Clinical Assessment Scale in Autoimmune Encephalitis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The Clinical Assessment Scale in Autoimmune Encephalitis (CASE) tracks disease severity in autoimmune encephalitis (AE), but no threshold for significant change exists. We aimed to determine the minimally clinically important difference (MCID) for CASE.
Yihui Goh, Yoon Hee Shin, Soo Hyun Ahn, Su Yee Mon, Soo Jean Shin, Woo‐Jin Lee, Yoonhyuk Jang, Myoung‐Jin Jang, Soon‐Tae Lee   +8 more
wiley   +1 more source

Aphasia severity prediction using a multi-modal machine learning approach. [PDF]

Neuroimage
Hu X, Varkanitsa M, Kropp E, Betke M, Ishwar P, Kiran S.   +5 more
europepmc   +1 more source

Early biochemical analysis of COVID-19 patients helps severity prediction. [PDF]

PLoS One, 2023
Roncancio-Clavijo A, Gorostidi-Aicua M, Alberro A, Iribarren-Lopez A, Butler R, Lopez R, Iribarren JA, Clemente D, Marimon JM, Basterrechea J, Martinez B, Prada A, Otaegui D.   +12 more
europepmc   +1 more source

Cracking the Code: Genotype–Phenotype Correlation Models in Sarcoglycanopathies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Sarcoglycanopathies are among the most severe limb‐girdle muscular dystrophies (LGMD), though milder presentations have been described. These diseases are primarily caused by missense variants, but the limited predictability of their effect on protein maturation, complex formation, and transport has hindered reliable genotype ...
Leonela Luce, Goknur Selen Kocak, José Verdú‐Díaz, Jorge Alonso‐Pérez, Kristl G. Claeys, Tanya Stojkovic, Gorka Fernández‐Eulate, Pascal Laforêt, Najoua Miladi, Filipe Di Pace, Cristiane Araujo Martins Moreno, Edmar Zanoteli, Conrad C. Weihl, Volker Straub, Ana Töpf, Jordi Díaz‐Manera, Sarcoglycan European Cohort Consortium, Adele D′Amico, Adolfo López de Munain, Alicia Alonso‐Jiménez, Ana Camacho‐Salas, Andrea Gangfuß, Andrés Nascimento, Anna Sarkozy, Anneke J. van der Kooi, Arturo Fraga‐Bau, Béla Melegh, Benedikt Schoser, Bjarne Udd, Blaz Koritnik, Carlos Ortez, Chiara Marini Bettolo, Chiara Panicucci, Claudia Weiss, Claudio Bruno, Claudio Semplicini, Cristina Dominguez‐González, Cristina Garrido, David Gómez‐Andrés, Edoardo Malfatti, Elena Pegoraro, Elke De Vos, Francina Munell, Gabriele Dekomien, Giacomo Pietro Comi, Giorgio Tasca, Isabelle Richard, Jan L. De Bleecker, Jana Haberlová, Jesper Helbo Storgaard, Johanna Palmio, John Vissing, Juan Carlos de Leon‐Hernández, Kinga Hadzsiev, Laura Costa‐Comellas, Lea Leonardis, Leroy ten Dam, Lidia González‐Quereda, Luca Bello, Luisa Politano, Manuela Santos, Marianne de Visser, Marie Rohlenová, Matteo Garibaldi, Michela Guglieri, Nicolas Deconinck, Nicoline Løkken, Omar Abdel‐Mannan, Pia Gallano, Roberto Fernández‐Torrón, Ulrike Schara‐Schmidt, Vincenzo Nigro, Vittoria Zangaro   +72 more
wiley   +1 more source

From point to probabilistic gradient boosting for claim frequency and severity prediction. [PDF]

Eur Actuar J
Chevalier D, Côté MP.
europepmc   +1 more source

Model-agnostic explainable artificial intelligence tools for severity prediction and symptom analysis on Indian COVID-19 data. [PDF]

Front Artif Intell, 2023
Nambiar A, S H, S S.
europepmc   +1 more source

Predicting outcome in severe ulcerative colitis

Digestive and Liver Disease, 2004
openaire   +2 more sources