Results 211 to 220 of about 1,382,288 (265)

Quantitative Wear Models for Microscale Material Removal. [PDF]

Nanomaterials (Basel)
Luo K, Chen S, Li H, Liang J, Sheng M, Tan Q, Wang Y, She D, Zhong L.   +8 more
europepmc   +1 more source

Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang, Chengsong Yue, Zhuang Li, Xiaolei Shi, Haoxuan Zhu, Jie Yang, Linyu Li, Jiaxing Song, Shitao Fan, Gaoming Li, Wenzhe Sun, Zhixian Ye, Jiacheng Huang, Dahong Yang, Jinfu Ma, Xu Xu, Zhixi Wang, Lilan Wang, Guojian Liu, Fengli Li, Changwei Guo, Li Qi, Wenjie Zi   +22 more
wiley   +1 more source

Chrysin Attenuates Dry Eye Progression by Suppressing NOX2-Dependent Ferroptosis and STING/NLRP3-Mediated Inflammatory Responses. [PDF]

Invest Ophthalmol Vis Sci
Li L, Li H, Peng H, Liu S, Chen B.
europepmc   +1 more source

Five‐Year Disease Progression in Synuclein Seeding Positive Sporadic Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To provide a comprehensive description of disease progression in synuclein seeding assay (SAA) positive sporadic Parkinson Disease participants, using Neuronal Synuclein Disease integrated biological and functional impairment staging framework.
Paulina Gonzalez‐Latapi, Caroline Gochanour, Seung Ho Choi, Hyunkeun Cho, Chelsea Caspell‐Garcia, Christopher Coffey, Michael Brumm, David‐Erick Lafontant, Yuge Xiao, Thomas Tropea, John Seibyl, Caroline Tanner, Charles S. Venuto, Karl Kieburtz, Lana M. Chahine, Kathleen L. Poston, Andrew Siderowf, Kenneth Marek, Tanya Simuni, The Parkinson's Progression Markers Initiative   +19 more
wiley   +1 more source

PIT-Net: Physics-informed transformer with differentiable diffusion constraints for quantitative photoacoustic tomography of deep tissues. [PDF]

Photoacoustics
Fan Y, Liu Y, Aji A, Feng T, Ta D.
europepmc   +1 more source

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende, Emilien Petit, Young Woo Park, Sophie Tezenas du Montcel, James M. Joers, Jonathan M. DuBois, H. Moore Arnold, Michal Povazan, Ipek Özdemir, Guita Banan, Romain Valabregue, Philipp Ehses, Jennifer Faber, Chiadi U. Onyike, Peter B. Barker, Jeremy D. Schmahmann, Eva‐Maria Ratai, Sub H. Subramony, Thomas H. Mareci, Khalaf O. Bushara, Henry Paulson, Thomas Klockgether, Alexandra Durr, Tetsuo Ashizawa, Christophe Lenglet, Gülin Öz, READISCA Investigators   +26 more
wiley   +1 more source

Development and validation of machine learning models integrating spectral computed tomography-derived three-dimensional quantitative parameters for predicting histopathological grade in pancreatic ductal adenocarcinoma. [PDF]

J Gastrointest Oncol
Song Z, Li Z, Wang X, Huang J, Chen Y, Zhang X, Tang Z.   +6 more
europepmc   +1 more source

Optimal quantitative metrics reflecting surgeons' qualitative evaluation in deep learning-based intraoperative anatomy recognition task: a retrospective study. [PDF]

BMC Surg
Fuse M, Kitaguchi D, Kosugi N, Ishikawa Y, Hasegawa H, Takeshita N, Kinugasa Y, Ito M.   +7 more
europepmc   +1 more source

Steering open-source AI to accelerate the sustainable development goals. [PDF]

Nat Commun
Chen M, Wu K, Pradhan P, Allen C, Nativi S, Hubacek K, Voinov A, Creutzig F, Filatova T, Boers N, Meadows M, Ma P, Biermann F, Schellnhuber HJ, Ludden J, Paradiso M, Batty M, Guo H, Cao M, Hou P, Lü G.   +20 more
europepmc   +1 more source

Opportunities for deep learning techniques to advance the histological analysis of preclinical models of osteoarthritis beyond ordinal rank systems. [PDF]

JBMR Plus
Griffith JL, Cruz-Almeida Y, Almarza A, Caudle R, Allen KD.   +4 more
europepmc   +1 more source