Results 171 to 180 of about 2,638,880 (299)

Alzheimer's Disease Biomarkers Measured by Capillary Blood Collection Versus Venous Plasma and Cerebrospinal Fluid

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Blood biomarkers are increasingly critical for non‐invasive Alzheimer's Disease (AD) diagnostics and research but typically require on‐site processing. Remote point‐of‐care collection methods could enhance biomarker testing in clinical and research settings.
Sara Ho, Ziling Shen, Alexandria Lewis, Megha Patel, Anny Zheng, Gianna Proscino, Thaovy Ho, Jiangxia Wang, Marilyn Albert, Abhay Moghekar   +9 more
wiley   +1 more source

Diffuse MRI Edema Predicts Relapse in Cerebral Amyloid Angiopathy–Related Inflammation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify MRI predictors of relapse and quantify relapse and mortality risk in cerebral amyloid angiopathy–related inflammation (CAA‐RI). A secondary objective was to assess the association between mycophenolate mofetil use and relapse risk. Methods We performed a retrospective cohort study of 36 patients with CAA‐RI treated at the
G. Abbas Kharal, Gowtham Yerneni, Kim J. Griffin, Nicolas Thompson, Ken Uchino, Irene Katzan, Dolora Wisco, Abeer Farrag, Jayashree Sundarajan, Andrew Russman, M. Shazam Hussain   +10 more
wiley   +1 more source

Cerebrospinal Fluid Over Plasma Links Analytes to Cognitive Decline in Older Adults at Risk for Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai, Audrey Zhu, Chunxuan Ma, Ming Wang, Yifan Yang, Lynn M. Bekris, Maria Khrestian, Frank P. DiFilippo, Mikhail Nasrallah, Aaron Burberry, James B. Leverenz, Yuan Hou, Feixiong Cheng, Stephen M. Rao   +13 more
wiley   +1 more source

Adaptive hybrid deep learning framework for medium-term wind speed forecasting. [PDF]

iScience
Wang FK, Tsegaw F, Gomez W.
europepmc   +1 more source

microRNA‐7‐5p and α‐Synuclein SAA Predict Parkinson's Disease Phenoconversion

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Corroborate blood neuron‐derived extracellular vesicle (NDEV) alpha‐synuclein (αSyn), the CSF αSyn seed amplification assay (αSyn‐SAA), and blood microRNA‐7‐5p (miR‐7‐5p) as markers for Parkinson's disease (PD) phenoconversion and determine if combining these markers would help select subjects who would be more likely to phenoconvert.
Shayan Zadegan, Praveen Velammal, Kanmani Muthiah, Madhu Jatty, Christopher Adams   +4 more
wiley   +1 more source

Bio-Inspired Metaheuristic Optimization of a DWT-BiLSTM Architecture for Wind Speed Forecasting: A Statistical Benchmark with Component Ablation. [PDF]

Biomimetics (Basel)
Bendeş E.
europepmc   +1 more source

Anticoagulation Treatment Response Among Phenotypic ESUS Clusters: Evidence From CASPR

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate treatment effect heterogeneity across phenotypic clusters of patients with cryptogenic embolic stroke using causal inference methods. Methods From a retrospective, multicenter cohort of patients with cryptogenic embolic stroke, we estimated the treatment effect of anticoagulation versus antiplatelet therapy in patients ...
Elena Badillo Goicoechea, Patrick Ellsworth, James E. Siegler, James R. Brorson, Christina M. Lineback, Frank G. Conyers, Deborah Kerrigan, Kelsey Eklund, Shadi Yaghi, Farid Khasiyev, Emiliya Melkumova, Collin J. Culbertson, Marissa D'Souza, Dinesh V. Jillella, Patrick Glover, Hassan Aboul‐Nour, Fadi Nahab, Mahan Shahrivari, Simona Nedelcu, David S. Liebeskind, Matthew M. Smith, Aaron Rothstein, Anna Bowman, Alicia Zha, Narendra Kala, Ahmad Abu Qdais, Sami Al Kasab, Mudassir Farooqui, Diana Rojas‐Soto, Yasmin Aziz, Franziska Herpich, Jean‐Philippe Daniel, Sean L. Thompson, Vivek Patel, Thanh N. Nguyen, Siddharth Sehgal, Wenzheng Yu, Wayneho Kam, Russel Van Coevering, Oana M. Dumitrascu, Muhammad Alvi, Balaji Krishnaiah, Setareh Salehi Omran, Guillermo Linares, Eesha Singh, Hamid Ali, Mary Penckofer, Jesse M. Thon, Shani Mannion, Dalia Chahien, Lucia Chen, Fawad Talat, Mehdi Abbasi, Richa Sharma   +53 more
wiley   +1 more source

A genetic algorithm-based ensemble framework for wind speed forecasting. [PDF]

Sci Rep
Barchi TM, Dos Santos JLF, Alves TA, de Mattos Neto PSG, Stevan SL, Corrêa FC, Medina MCC, Siqueira HV, de Oliveira JFL.   +8 more
europepmc   +1 more source

Dynamic Changes in Serum Glial Fibrillary Acidic Protein Levels Predicts Early Neurological Deterioration After Intravenous Thrombolysis in Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Minor strokes may be associated with early neurological deterioration (END) and disabilities. The objective was to investigate the role of serum glial fibrillary acidic protein (GFAP) levels in predicting END. Methods Data originated from a multicenter cohort study conducted prospectively.
Jie Zhou, Yang Qu, Reziya Abuduxukuer, Peng Zhang, Ting Wang, Jian‐Hua Gao, De‐Wang Pan, Zhi‐Mei Yuan, Chun‐Ying Li, Li‐Ping Chen, Jin‐Hua Chen, Ji‐Liang Gu, An‐Ying Wang, Li‐Gang Jiang, Liang Liu, Yong‐Fei Jiang, Chun‐Fei Wang, Yan Jia, Hong Xin, Chun‐Li Jiang, Ying‐Bin Qi, Xue‐Feng Hu, Song Li, Hang Jin, Zhen‐Ni Guo, Yi Yang, on behalf of the Biomarkers of Brain Injury Investigator Study Group, Lijuan Wang, Ting Wang, Jianhua Gao, Dewang Pan, Zhimei Yuan, Chunying Li, Liping Chen, Jinhua Chen, Jiliang Gu, Anying Wang, Ligang Jiang, Liang Liu, Yongfei Jiang, Chunfei Wang, Yan Jia, Hong Xin, Chunli Jiang, Yingbin Qi, Xuefeng Hu   +45 more
wiley   +1 more source

Machine learning-based wind speed forecasting: a comparative study. [PDF]

Sci Rep
Zabihi A, B Manur V, Dintakurthy Y, Prasad K, Rene P, Krishna V.   +5 more
europepmc   +1 more source