Results 221 to 230 of about 203,738,243 (304)

Comparison of Coefficients of Variation in Performance Tests Performed by Healthy Males

Rigakuryoho Kagaku
Hiromu KIBA, Hiroichi MIAKI, Masami YOKOGAWA, Hitoshi ASAI   +3 more
openaire   +1 more source

Automatic Lesion Morphometrics Reliably Predict Sensorimotor Recovery After Spinal Cord Injury: A Longitudinal, Multicenter Neuroimaging Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate automatic magnetic resonance imaging (MRI)‐derived lesion morphometrics against manual measurements and their prognostic value for characterizing distinct acute to chronic neurological recovery trajectories after spinal cord injury (SCI). Methods We studied a retrospective, multicenter cohort of cervical and thoracolumbar
Dario Pfyffer, Jan Valošek, Lynn Farner, Enamundram Naga Karthik, Gergely David, Norbert Weidner, Rainer Abel, Doris Maier, Armin Curt, Margret Hund‐Georgiadis, Mirko Aach, Michael Baumberger, Julien Cohen‐Adad, Patrick Freund, the Nogo Inhibition in Spinal Cord Injury Study Group, Rainer Abel, Kerstin Rehahn, Mirko Aach, Klaus Röhl, Norbert Weidner, Marion Saur, Nikolaus Weiskopf, Doris Maier, Andreas Badke, Margret Hund‐Georgiadis, Michael Baumberger, Armin Curt, Jesus Benito‐Penalva, Jiri Kriz   +28 more
wiley   +1 more source

Acute Endocrine Alterations After Traumatic Brain Injury and 6‐Month Functional Outcome

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Acute multi‐axis endocrine alterations after traumatic brain injury (TBI) remain incompletely characterized. This study aimed to examine their temporal patterns and explore their associations with 6‐month functional outcome and early inflammatory markers.
Biao Xu, Peng Guo, Rui Pan, Zhenghao Wang, Jingchao Zhou, Pengcheng Zhang, Xingzhe Zhang, Qinghua Zhang, Haibin Ma, Zhanfeng Niu   +9 more
wiley   +1 more source

A transfer learning-based hybrid deep- and machine-learning regression approach for predicting the postoperative pulmonary function. [PDF]

Eur Radiol Exp
Wang W, Sun Y, Ma H, Li M.
europepmc   +1 more source

Serostatus‐Specific Prognostic Profiles and Phenotype‐Dependent Therapeutic Windows in Autoimmune Encephalitis: A Multicenter Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background While autoimmune encephalitis (AE) outcomes vary, serostatus‐specific prognostic determinants and institutional clustering effects remain poorly characterized. We aimed to delineate the distinct prognostic architecture of AE, identifying serostatus‐specific risk factors and potential therapeutic windows.
Xiaohong Tang, Jingxian Wang, Kaixin Zhu, Zhen Zhang, Liao Wu, Wei Wang, Chang Li, Qingyun Li, Hao Li, Jinghua Chen, Zhangxu Lian, Bin Liu, Tengfei Liu, Chunmei Wen, Nuan Wang, Sen Qun, Lishun Xiao, Qingwei Lai   +17 more
wiley   +1 more source

Molecular Diagnosis in Children With Febrile Seizures: Beyond the Conventional Clinical Classification

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Febrile seizures (FS) are currently classified as simple or complex primarily to describe seizure characteristics, with limited ability to identify the underlying etiology. We evaluated whether molecular diagnosis could complement conventional classification and improve the diagnosis and management of FS.
Jia Wang, Mengna Zhang, Yangyang Wang, Xiuyu Shi, Baoguang Li, Xiuxia Wang, Dan Sun, Sanqing Xu, Jianbo Zhao, Lijun Du, Qiming Pang, Xiaoming Liu, Chunhui Tang, Xiaohua Li, Jiuwei Li, Yanli Ma, Jianxiang Liao, Gulixian Abudureyimu, Jianmin Liang, Yuan Wang, De Wu, Jian Wu, Liping Zou   +22 more
wiley   +1 more source

Metapath-guided topology and domain knowledge fusion for predicting miRNA-drug-disease triplet resistance and sensitivity associations. [PDF]

Brief Bioinform
Sheng N, Gao L, Tang X, Liu Y, Huang L, Wang Y.   +5 more
europepmc   +1 more source

Predictive Tires for Electric and Autonomous Vehicles: A Comprehensive Review. [PDF]

Sensors (Basel)
Danci CC, Burnete N, Todoruț A, Cordoș N, Duma I, Barabás I, Terec A.   +6 more
europepmc   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source