Results 161 to 170 of about 31,481 (265)

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

open access: yesAdvanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang   +12 more
wiley   +1 more source

Deep Learning-Based Landmark Detection Model for Multiple Foot Deformity Classification: A Dual-Center Study. [PDF]

open access: yesYonsei Med J
Lee SJ   +10 more
europepmc   +1 more source

Longitudinal Single‐Axon‐Resolution Imaging of Peripheral Nerve Injury Response in Mice Using an Optical Window Implant

open access: yesAdvanced Science, EarlyView.
A minimally invasive optical window enables stable, long‐term imaging of peripheral nerves in vivo at single‐axon resolution. Dynamic processes of degeneration, regeneration, and cellular remodeling are visualized across multiple time scales within the same nerve region, providing a unique platform to study a variety of anatomical and molecular events ...
Igor D. Luzhansky   +15 more
wiley   +1 more source

Freestanding Bamboo‐Like Nitrogen‐Doped Carbon Nanofibers/PANI Dual‐Conductive Cathodes via Interfacial Engineering for High‐Performance Lithium–Sulfur Batteries

open access: yesAdvanced Science, EarlyView.
Bamboo‐like nitrogen‐doped carbon fibers (BNCFs) were synthesized via a vapor‐liquid‐solid catalytic growth method and further integrated with polyaniline to fabricate a freestanding BNCFs/S/PANI cathode. The PANI coating and BNCFs framework synergistically establish an interconnected conductive network with abundant nitrogen‐active sites, thereby ...
Jie Yang   +5 more
wiley   +1 more source

Multi‐Stimuli Responsive Magneto‐Coacervate Droplets for Selective Molecular Enrichment and Programmable Manipulation

open access: yesAdvanced Science, EarlyView.
ABSTRACT Coacervate droplets formed via liquid–liquid phase separation offer unique opportunities as microreactors and delivery vehicles due to their ability to selectively concentrate biomolecules and support biochemical reactions. However, their passive nature severely restricts precise spatial and temporal control, posing barriers to practical ...
Kailang Liu   +6 more
wiley   +1 more source

An Efficient Detection Platform Based on Mesoporous Au@Cr2O3 Particles with Schwarz P Surface for Precise Periodontitis Metabolite Profiling

open access: yesAdvanced Science, EarlyView.
A non‐invasive periodontitis diagnosis platform was developed using Au nanoparticles‐decorated mesoporous Cr2O3 (Au@mCr2O3) particles with Schwarz P surface as matrix for saliva metabolic fingerprinting (SMFs) analysis via MALDI‐MS. With the assistance of machine learning of SMFs, this platform enables efficient diagnosis and the screening of potential
Yue Sun   +9 more
wiley   +1 more source

Weightbearing Computed Tomography Measurements in Progressive Collapsing Foot Deformity: A Contemporary Review. [PDF]

open access: yesFoot Ankle Orthop
Fayed AM   +4 more
europepmc   +1 more source

A Spatially Directed Microneedle Patch Enables Intratumoral Co‐Delivery of FOLFIRINOX, Surufatinib, and Anti‐PD‐1 for Chemo‐Immunotherapy of Pancreatic Ductal Adenocarcinoma

open access: yesAdvanced Science, EarlyView.
A double‐layered shell‐core microneedle patch is developed to co‐deliver FOLFIRINOX, surufatinib, and anti‐PD‐1 for localized chemo‐immunotherapy of PDAC. This strategy achieves sustained tumor suppression, reduces metastasis, and reprograms the TME by enhancing CD8+ T‐cell infiltration and inhibiting Tregs and M2 macrophages infiltration, while ...
Tingting Kong   +13 more
wiley   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

open access: yesAdvanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong   +11 more
wiley   +1 more source

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