Results 141 to 150 of about 1,129,724 (343)

Fluid and Neuroimaging Biomarkers in Microgliopathy Colony‐Stimulating Factor‐1 Receptor‐Related Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela, Madison Reeves, Karen Jansen‐West, Judith Dunmore, Yuping Song, Audrey Strongosky, Sunil Gandhi, Gilana Pikover, Matt Blurton‐Jones, Robert C. Spitale, Erik H. Middlebrooks, Leonard Petrucelli, Mercedes Prudencio, Zbigniew K. Wszolek   +13 more
wiley   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Knowledge, attitudes, and practices toward bioterrorism preparedness among nurses: a cross-sectional study

BMC Nursing
Background Bioterrorism is an important topic in the field of biosecurity. Nurses, the largest group of healthcare workers, play a critical role in addressing the threat of bioterrorism.
Tiantian Li, Chao Zhao, Yongzhong Zhang, Song Bai, Zichen Zhou, Nan Li, Lulu Yao, Shaotong Ren, Rui Zhong   +8 more
doaj   +1 more source

Riemannian Optimization for Holevo Capacity

2025 IEEE International Symposium on Information Theory (ISIT)
Comment: 6 ...
Zhu, Chengkai, Peng, Renfeng, Gao, Bin, Wang, Xin   +3 more
openaire   +2 more sources

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Optimization Using Response Surface Methodology of Amylolytic Capacity of Maize Atp-Y and Coca-Sr Varieties: In Vitro Digestibility Capacity, Protein Structure, Nutritional, Antinutritional, Physical, Antioxdant and Functionnal Properties of Optimal Sample

, 2022
Stephano TAMBO TENE, Derek Tantoh Ndinteh, Jean Roger Dongmo, Oluwafemi Ayodeji Adebo, Yusuf Olamide Kewuyemi, Michael Hermann Kengne Kamdem, Anthony O. Obilana, Julie Mathilde Klang, Patrick Berka Njobeh, Hilaire Macaire Womeni   +9 more
openalex   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Exact Solution for Time Sequence Optimization of Road Reconstruction Projects Considering Network Capacity Limitation

, 2022
Qun Chen, Shi Ye, Yan Wang
openalex   +1 more source

In‐Depth Profiling Highlights the Effect of Efgartigimod on Peripheral Innate and Adaptive Immune Cells in Myasthenia Gravis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is an autoimmune disorder characterized by antibody‐mediated complement activation. Efgartigimod, a neonatal Fc receptor (FcRn) antagonist, is approved for treating generalized MG (gMG). However, its modulatory effects on upstream innate and adaptive immune cells remain largely unexplored.
Lei Jin, Liu Dong, Ying Wang, Dingxian He, Chong Yan, Jianying Xi, Haoqin Jiang, Yu Shi, Ming Guan, Chongbo Zhao, Jie Song, Sushan Luo   +11 more
wiley   +1 more source

Battery energy storage cost and capacity optimization for university research center

, 2018
Mojtaba Moghimi, Rasoul Garmabdari, Sascha Stegen, Junwei Lu   +3 more
openalex   +2 more sources