Results 201 to 210 of about 264,517 (319)

Assessing the Relative Importance of Imaging and Serum Biomarkers in Capturing Disability, Cognitive Impairment, and Clinical Progression in Multiple Sclerosis

Advanced Science, EarlyView.
Using machine‐learning analyses in two independent multiple sclerosis cohorts, spinal cord atrophy and cortical degeneration emerged as key predictors of disability and progression independent of relapses. Deep gray matter damage further improved prediction, while serum biomarkers of brain damage provided complementary information, highlighting the ...
Alessandro Cagol, Pascal Benkert, Sabine Schaedelin, Mario Ocampo‐Pineda, Noemi Montobbio, Po‐Jui Lu, Batuhan Ayci, Antonia Wenger, Alfi Aran Shukur, Kornelius Kaim, Lester Melie‐Garcia, Matthias Weigel, Alessio Signori, Pasquale Calabrese, Ludwig Kappos, Maria Pia Sormani, Jens Kuhle, Cristina Granziera   +17 more
wiley   +1 more source

A Dynamic Gate Enables Regioselective Hydroxylation of Free Arginine by a Non‐Canonical Heme Enzyme

Advanced Science, EarlyView.
The YqcI/YcgG enzyme AglA employs a unique “sandwich” fold and a dynamic gating mechanism to selectively hydroxylate AMPn‐Arg at Nε. Site‐directed mutations reprogram regioselectivity or enable activity on free arginine by altering hydrogen‐bond networks, precisely positioning substrates.
Yuan Sun, Chao Dou, Weizhu Yan, Pengpeng Chen, Lu Zhang, Dan Zhou, Yanhui Zheng, Zhaolin Long, Shoujie Li, Xiaoqing Xu, Qiuxia Huang, Xiaofeng Zhu, Wei Cheng   +12 more
wiley   +1 more source

Hybrid iterative reconstruction in ultra-low-dose CT for accurate pulmonary nodule assessment: A Phantom study. [PDF]

Medicine (Baltimore)
Chen LG, Kao HW, Wu PA, Sheu MH, Tu HY, Huang LC.   +5 more
europepmc   +1 more source

Learned Conformational Space and Pharmacophore Into Molecular Foundational Model

Advanced Science, EarlyView.
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang, Yifan Wu, Hao Luo, Minglong Liang, Yihang Zhou, Cheng Chen, Chris Liu, Jun Zhang, Yang Zhang   +8 more
wiley   +1 more source

Voxelwise characterization of noise for a clinical photon-counting CT scanner with a model-based iterative reconstruction algorithm. [PDF]

Eur Radiol Exp
Masturzo L, Barca P, De Masi L, Marfisi D, Traino A, Cademartiri F, Giannelli M.   +6 more
europepmc   +1 more source

Sparse Signal Reconstruction via Iterative Support Detection [PDF]

, 2010
Yilun Wang, Wotao Yin
openalex   +1 more source

A Quantum Framework for Protein Binding‐Site Structure Prediction on Utility‐Level Quantum Processors

Advanced Science, EarlyView.
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang, Yuxin Yang, William Martin, Kingsten Lin, Zixu Wang, Cheng‐Chang Lu, Weiwen Jiang, Ruth Nussinov, Joseph Loscalzo, Qiang Guan, Feixiong Cheng   +10 more
wiley   +1 more source

Fat suppression using frequency-sweep RF saturation and iterative reconstruction. [PDF]

Magn Reson Med
Zi R, Benkert T, Chandarana H, Lattanzi R, Block KT.   +4 more
europepmc   +1 more source

Quantum iterative reconstruction on a photon-counting detector CT improves the quality of hepatocellular carcinoma imaging. [PDF]

Cancer Imaging, 2023
Graafen D, Stoehr F, Halfmann MC, Emrich T, Foerster F, Yang Y, Düber C, Müller L, Kloeckner R.   +8 more
europepmc   +1 more source

HIDF: Integrating Tree‐Structured scRNA‐seq Heterogeneity for Hierarchical Deconvolution of Spatial Transcriptomics

Advanced Science, EarlyView.
The prevailing neglect of cellular hierarchies in current spatial transcriptomics deconvolution often obscures cellular heterogeneity and impedes the identification of fine‐grained subtypes. To address this issue, HIDF employs a cluster‐tree and dual regularization to systematically model cellular hierarchical structures.
Zhiyi Zou, Yuting Bai, Bo Wang, Wanwan Shi, Xiao Liang, Jiawei Luo   +5 more
wiley   +1 more source