Results 81 to 90 of about 49,970 (201)

Clinical and Modifiable Factors Associated With Disability and Relapse in MOGAD: A Multicentre Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Factors associated with relapse course and disability in myelin oligodendrocyte glycoprotein antibody‐associated disease (MOGAD) remain incompletely understood. Objectives To identify clinical and modifiable factors associated with relapse and disability in MOGAD. Methods In this ambispective multicentre cohort study using data from
Yingtao Wang, Shaoxin Tao, Qiujia Wang, Xiaoyu Xu, Hui Yao, Zheng Liu, Dawei Li, Zhandong Qiu, Jinming Han, Jiangwei Xia, Qi Wang, Jun Sun, Kai Shao, Jiao Li, Shishuang Ruan, Yi Zhong, Jun Guo, Shougang Guo, Yue Huang, Guoliang Chai, Tao Jin, Hongyu Zhou, Junwei Hao, Yinan Zhao   +23 more
wiley   +1 more source

The Role of the Parliament in European Integration: Croatia’s Lessons for Ukraine

Copernican Journal of Law
After Ukraine was granted the status of a candidate for EU membership in June 2022, the cooperation between Ukraine and the European Union has reached a new level.
Khrystyna Bidonko
doaj   +1 more source

A Multi-Source Remote Sensing and Multi-Evidence Fusion Framework for Regional Permafrost-Condition Screening for Preliminary Engineering Planning in the Daxing’anling Region

Buildings
Permafrost maps are important for regional planning in cold regions, but binary products do not represent gradients in thermal conditions, seasonal thaw response, or mapping confidence.
Lei Yang, Yunhu Shang, Da Kong, Kai Gao, Yifu Luo, Changlei Dai, Wenzhao Xu   +6 more
doaj   +1 more source

Characterizing Cutaneous α‐Synuclein Deposition and Seeding Activity in Parkinson's Disease Subtypes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cutaneous phosphorylated α‐synuclein (p‐syn) and α‐synuclein seeding activity are promising biomarkers for Parkinson's disease (PD), but their clinical value remains uncertain due to disease heterogeneity. This study evaluates these two biomarkers in PD patients to inform phenotype‐specific diagnosis and disease severity assessment ...
Yuting Jin, Tianyuan Yang, Minglei Liu, Haiyang Luo, Jing Yuan, Ke Zhang, Xinsheng Han, Jing Yang, Yuming Xu   +8 more
wiley   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Troponin T and Neurofilament Light Chain Levels as Complementary Biomarkers of Disease Accumulation and Aggressiveness in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a clinically heterogeneous neurodegenerative disease requiring reliable biomarkers to improve patient stratification and trial design. While serum neurofilament light chain (sNfL) reflects neuroaxonal stress and disease aggressiveness, troponin T (TnT) may capture complementary aspects of ...
Julia Sellin, Sofia Waldorf, Janina von der Gablentz, Torsten Grehl, Huelya Nazlican, Thomas Meyer, Julian Grosskreutz, Patrick Weydt, Sarah Bernsen   +8 more
wiley   +1 more source

A Reproducible Blockchain-Anchored Proof-of-Charge Platform for Auditable EV Charging Receipts

Future Internet
Public electric vehicle (EV) charging increasingly relies on internet-connected platforms for metering, billing, roaming, and settlement. However, final billing records and charge detail records often provide limited evidence that a session result can be
Nexhibe Sejfuli-Ramadani, Valentina Angelkoska, Florim Idrizi, Valentin Rakovic, Erenis Ramadani, Aleksandar Risteski   +5 more
doaj   +1 more source

CSF Cytokine Network Organization Predicts Progression Independent of Relapse and MRI Activity in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno, Matteo Conti, Ettore Dolcetti, Federica Azzolini, Angela Borrelli, Roberta Fantozzi, Mario Stampanoni Bassi, Giovanni Galifi, Giuseppe Maccarrone, Luca Montaguti, Marco Cervigni, Maddalena Dal Pozzo, Roberto Furlan, Annamaria Finardi, Girolama Alessandra Marfia, Marco Salvetti, Antonella Conte, Fabio Buttari, Diego Centonze, Luana Gilio   +19 more
wiley   +1 more source

Deep generative hidden Markov models for synthetic patient data generation: a novel approach for medical AI research

BMC Medical Informatics and Decision Making
Background High-quality healthcare data is often hard to access due to privacy rules and limited availability, making it difficult to develop and test clinical AI models.
Mohammadreza Momenzadeh, Atiyeh Oshaghi
doaj   +1 more source

The Effects of Supervision on Effort During Resistance Training

Communications in Kinesiology
Supervision during resistance training (RT) may enhance strength gains by optimizing trainee effort. We investigated supervision’s role on effort during RT in a unique setting with private strength clinics, where members train either unsupervised (“Core”
James Steele, James Fisher, Tim Dettmann
doaj   +1 more source