Results 181 to 190 of about 7,143 (284)

Dual‐Module Near‐Infrared Fluorophores Discovery System via Knowledge Transfer

open access: yesAdvanced Science, EarlyView.
This study presents a dual‐module deep learning system for the design of near‐infrared (NIR) fluorophores. A large molecular library is generated and analyzed, leading to the suggestions of promising candidates. The effectiveness of the system is further validated through the synthesis, characterization, and in vivo imaging, demonstrating its potential
Yixin Zhu   +7 more
wiley   +1 more source

Use of the “Ru‐1O2‐Hydrazide” System Catalyzed by Metallic Ruthenium Complexes to Decipher the Interaction Between Microbes and Host Cancer Cells

open access: yesAdvanced Science, EarlyView.
ABSTRACT The dynamic interplay between bacteria and host cancer cells plays a critical role in tumor microenvironment modulation, bacterial pathogenesis, and potential oncotherapy applications. However, traditional methods often fail to capture transient or spatially restricted molecular interactions at the bacteria‐cancer cell interface.
Amin Sun   +6 more
wiley   +1 more source

Transforming healthcare through in-body bioelectronic systems. [PDF]

open access: yesNat Commun
Ceto S   +11 more
europepmc   +1 more source

Matrix Stiffness Induces Endothelial Network Senescence

open access: yesAdvanced Science, EarlyView.
Using a 3D human in vitro model that decouples mechanical stress from inflammatory or biochemical signals, matrix stiffening induces a senescence phenotype in endothelial networks. This mechano‐induced senescence activates Notch signaling, and pharmacologic Notch inhibition attenuates this stiffness‐induced senescence.
Jiyeon Song   +6 more
wiley   +1 more source

Laser-programmed stiffness and interfaces for textile hybrid electronics. [PDF]

open access: yesNat Commun
Luo H   +13 more
europepmc   +1 more source

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

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