Results 171 to 180 of about 23,189 (288)

Comprehensive quantitative magnetic resonance imaging assessment of skeletal muscle pathophysiology in golden retriever muscular dystrophy: Insights from multicomponent water T2 and extracellular volume fraction. [PDF]

NMR Biomed
Caldas de Almeida Araujo E, Barthélémy I, Fromes Y, Baudin PY, Blot S, Reyngoudt H, Marty B.   +6 more
europepmc   +1 more source

Quantitative Stain Mapping in X‐Ray Virtual Histology

Advanced Science, EarlyView.
Virtual histology promises 3D tissue examination without physical sectioning, yet has lacked the tissue‐specificity of conventional pathology. This work demonstrates the first quantitative three‐dimensional stain mapping at histologically relevant resolution, separating contrast agent from tissue to reveal cellular features such as nuclei. The approach
Dominik John, David M. Paganin, Marie‐Christine Zdora, Lisa Marie Petzold, Patrick Ilg, Junan Chen, Sara Baggio, Johannes B. Thalhammer, Sami Wirtensohn, Julian Moosmann, Jörg U. Hammel, Felix Beckmann, Samantha J. Alloo, Jannis N. Ahlers, Madleen Busse, Julia Herzen, Kaye S. Morgan   +16 more
wiley   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

Serial evaluation of cardiac biomarker NT-proBNP with speckle tracking echocardiography in a 6-year-old Golden Retriever dog with subaortic stenosis and dilated cardiomyopathy. [PDF]

Vet Q, 2020
Ro WB, Kang MH, Park HM.
europepmc   +1 more source

Learnable Diffusion Framework for Mouse V1 Neural Decoding

Advanced Science, EarlyView.
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng, Peter S. Schwendeman, Yuanfang Guan   +2 more
wiley   +1 more source

Lipoma in dogs under primary veterinary care in the UK: prevalence and breed associations [PDF]

, 2018
Brodbelt, D C, Church, D B, Corah, C H, O'Neill, D G, Rutherford, L   +4 more
core   +2 more sources

RENAL‐CHIP: Rejection Evaluation via Non‐Invasive Analysis of Circulating Podocytes With Herringbone‐Chip Isolation Platform

Advanced Science, EarlyView.
RENAL‐CHIP converts 1 mL of peripheral blood into a biopsy‐equivalent readout of renal‐allograft fate. By magnetic capture and release of donor‐derived circulating podocytes through a herringbone microfluidic chip, 84% capture, 96% release and single‐cell RNA evidence of rejection‐specific immunity are achieved.
Juan Song, Yilong Liu, Zeyuan Zheng, Ming Zhu, Yuning Zou, Pei Liu, Yue Zheng, Xiyuan Yu, Jianzhong Zheng, Chen Shao, Huimin Zhang, Chaoyong Yang   +11 more
wiley   +1 more source

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

Advanced Science, EarlyView.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang, Hexing Han, Yufeng Liu, Zhiyuan Ning, Yujie Ma, Haidan Wang, Jinling Xu, Qiansheng Huang, Wenjuan Cui, Yuanchun Zhou, Yang Gao, Bin Wang, Yi Du   +12 more
wiley   +1 more source

Integrating Spatial Proteogenomics in Cancer Research

Advanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang, Yang Wu, Feng Zhang, Parthiban Periasamy, Haiyue You, Denise Goh, Rachel Elizabeth Ann Fincham, Xin Ning, Danping Wu, Lu Liu, Ying Jiang, Zhiwen Qian, Joe Yeong, Yan Zhang   +13 more
wiley   +1 more source

Natural History of Cardiomyopathy in Adult Dogs With Golden Retriever Muscular Dystrophy. [PDF]

J Am Heart Assoc, 2019
Guo LJ, Soslow JH, Bettis AK, Nghiem PP, Cummings KJ, Lenox MW, Miller MW, Kornegay JN, Spurney CF.   +8 more
europepmc   +1 more source