Results 61 to 70 of about 111,141 (252)

In Situ Stress‐Dispersing Hydrogel Millispheres via Load Redistribution to Restore Nucleus Pulposus Metabolic Homeostasis

open access: yesAdvanced Science, EarlyView.
Local stress concentration disrupts metabolic homeostasis and induces inflammation in the nucleus pulposus (NP), thereby accelerating intervertebral disc degeneration (IDD). A biomimetic HA/ChS hydrogel millimeter sphere (ChS@HM) is developed to enable synergistic stress dispersion and sustained hydration lubrication.
Ang Li   +4 more
wiley   +1 more source

Resolving and Controlling Silicoaluminophosphate Zeolite Intergrowths and Mixtures

open access: yesAdvanced Science, EarlyView.
Low‐dose electron microscopy enables atomic‐resolution imaging of beam‐sensitive SAPO‐34/18 intergrowths, revealing their stacking sequences and spatial distributions under controlled Si content and SDA ratio. This work establishes a methodology linking controllable synthesis with atomic‐resolution microscopy to investigate structure–property ...
Yuxin Ke   +10 more
wiley   +1 more source

Ultra‐Radiostable Covalent Conformationally Interlocked Networks Enabling a Universal Radiometal‐Labeling Platform for Cancer Radioembolization

open access: yesAdvanced Science, EarlyView.
Conjugated poly(imide dioxime)‐based microspheres establish a radiometal coordination‐driven conformational interlocked network with ultra‐high radiostability. This platform enables low‐temperature, multi‐radionuclide labeling for SPECT/PET/MRI imaging and radionuclide therapy. Mechanistic insights from EXAFS and DFT reveal enhanced stability, while in
Xiao Xu   +10 more
wiley   +1 more source

Digital Twins in Radiology

open access: yes, 2022
A digital twin is a virtual model developed to accurately reflect a physical thing or a system. In radiology, a digital twin of a radiological device enables developers to test its characteristics, make alterations to the design or materials, and test ...
Filippo Pesapane   +14 more
core   +1 more source

Multitask Deep Learning Model for Predicting Lymph Node Metastasis and Disease‐Free Survival From Cytology Images in Bladder Cancer: A Multicenter Study With Pan‐Cytology Validation

open access: yesAdvanced Science, EarlyView.
Through self‐supervised pretraining and supervised fine‐tuning on large‐scale cytology image datasets, CytoNet predicts lymph node metastasis and survival. Across independent cohorts, this multitask framework demonstrates robust performance, improves risk stratification beyond radiological assessment, and provides interpretable evidence to support ...
Guibin Hong   +14 more
wiley   +1 more source

Potentials and practical challenges of terbium-161 labeled radiopharmaceuticals

open access: yesEJNMMI Radiopharmacy and Chemistry
Background Due to promising preclinical studies and clinical case reports, Tb-161 labeled radiopharmaceuticals for targeted radionuclide therapy (TRT) have gained interest.
Carolline M. Ntihabose   +11 more
doaj   +1 more source

ESR paper on structured reporting in radiology [PDF]

open access: yes, 2018
: Structured reporting is emerging as a key element of optimising radiology’s contribution to patient outcomes and ensuring the value of radiologists’ work. It is being developed and supported by many national and international radiology societies, based
Pyatigorskaya, Nadya   +6 more
core   +2 more sources

Dysregulation of the MACF1‐Rab14/KIF16B‐FGFR Vesicular Trafficking Axis Skews MSC Lineage Commitment in Glucocorticoid‐Induced Osteoporosis

open access: yesAdvanced Science, EarlyView.
Under normal conditions, MACF1 interacts with Rab14 and facilitates KIF16B‐mediated FGFR vesicle trafficking along microtubules to the plasma membrane, thereby supporting BMSC differentiation. In contrast, chronic GC exposure suppresses MACF1 expression, disrupting this transport and causing intracellular FGFR retention, which blunts osteogenic ...
Peihong Su   +14 more
wiley   +1 more source

Liver Imaging Reporting and Data System: an expert consensus statement

open access: yesJournal of Hepatocellular Carcinoma, 2017
Khaled M Elsayes,1 Ania Z Kielar,2 Michelle M Agrons,3 Janio Szklaruk,1 An Tang,4 Mustafa R Bashir,5 Donald G Mitchell,6 Richard K Do,7 Kathryn J Fowler,8 Victoria Chernyak,9 Claude B Sirlin10 1Department of Diagnostic Radiology, The University of Texas ...
Elsayes KM   +10 more
doaj  

BraMARS: An Interpretable Histopathology‐Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited‐Stage SCLC

open access: yesAdvanced Science, EarlyView.
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang   +10 more
wiley   +1 more source

Home - About - Disclaimer - Privacy