Results 131 to 140 of about 99,358 (217)

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

Disrupting Helicobacter pylori Iron Homeostasis With Bismuth Nanodrug‐Mediated Nutritional Trap for Targeted Gastric Infection Therapy

open access: yesAdvanced Science, EarlyView.
A “nutritional trap” strategy centered on disrupting bacterial iron homeostasis is proposed. The synthesized Bi‐TP@FU (TBF) can target Helicobacter pylori, interfere with the bacterial iron uptake and utilization processes to disrupt its iron homeostasis, induce bacterial death, and meanwhile preserve the balance of the intestinal flora.
Tianye Fang   +13 more
wiley   +1 more source

AI Designed Conformation Locking Peptides Target STING to Restore Diabetic Wound Healing

open access: yesAdvanced Science, EarlyView.
A generative AI pipeline identifies SCP‐1, a conformation‐locking peptide that stabilizes inactive STING. Incorporated into a dual‐responsive hydrogel for localized, MMP‐9‐triggered release, SCP‐1 suppresses inflammation, promotes reparative macrophage polarization, and accelerates diabetic wound healing.
Xinyu Li   +8 more
wiley   +1 more source

Lanthanum Carbonate Nanosheets Based Colloidal Hydrogel for Modulating Innate & Adaptive Tumor Immunotherapy by Augmented Cellular Pyroptosis

open access: yesAdvanced Science, EarlyView.
The Gela/decitabine/La2(CO3)3 colloidal (GDLC) hydrogel developed here could reverse the epigenetic silencing of the GSDME gene by the synergistic interaction between DAC and La3+, while concurrently activating caspase‐3, thus facilitating pyroptosis induction under the tumor microenvironment.
Yang Hong   +6 more
wiley   +1 more source

Magneto‐NIR‐II‐Programmed Cascade Nanozymes Unlocking Blood–Brain Barrier Translocation and Autophagic Resistance in Glioblastoma

open access: yesAdvanced Science, EarlyView.
Magneto‐NIR‐II‐programmed NFSH nanozymes integrate magnetic blood–brain barrier (BBB) translocation, CD44 targeting, multimodal imaging, and cascade catalytic therapy for glioblastoma. Alternating magnetic fields and NIR‐II irradiation amplify ferroptosis, release H2S, suppress autophagic and mitophagic repair, and reshape the immune microenvironment ...
Ruocan Liu   +7 more
wiley   +1 more source

Large‐Area Noise‐Resilient Multiplexing Triboelectric Biomechanical Sensing on Clothing for High‐Precision Full‐Body Motion Capture in Wearables

open access: yesAdvanced Science, EarlyView.
A large‐area, noise‐resilient multiplexed triboelectric sensing garment based on a multilayer shielded architecture and SnS2 nanoflower‐engineered hybrid materials enables interference‐suppressed, high‐fidelity full‐body motion tracking, achieving 0.13% signal misrecognition, 57 dB electromagnetic noise attenuation, and >1.5 N threshold force, while ...
Beibei Shao   +14 more
wiley   +1 more source

F7 Drives Gastric Cancer Metastasis Through Anoikis Resistance and Tumor Microenvironment Remodeling

open access: yesAdvanced Science, EarlyView.
ABSTRACT Coagulation factor VII (F7) has been implicated in tumor progression; however, its role in gastric cancer metastasis and immune evasion remains incompletely understood. In this study, we identified F7 as a clinically relevant driver of gastric cancer.
Lei Gao   +9 more
wiley   +1 more source

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

open access: yesAdvanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source

Home - About - Disclaimer - Privacy