Results 241 to 250 of about 5,883,213 (294)

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

Deciphering Anti‐Cancer Drug Efficacy Through Nanomechanical Vibrations in Living Gastric Cancer Organoids

open access: yesAdvanced Science, EarlyView.
This study developed an efficacy assessment platform that integrates patient‐derived gastric cancer organoids, atomic force microscopy (AFM)‐based nanomechanical vibration detection, deep learning analysis, and organoid mechanical modeling. It detects picomolar drug effects within 0.1 s signal, achieves 97% classification accuracy, and offers non ...
Ting Zhang   +10 more
wiley   +1 more source

Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials

open access: yesAdvanced Science, EarlyView.
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang   +5 more
wiley   +1 more source

Hierarchical feature binding in a spiking neural network model of the primate ventral visual pathway. [PDF]

open access: yesPLoS Comput Biol
Gardner B   +6 more
europepmc   +1 more source

Latent Diffusion Process With Mechanistic Guidance For Designing Functionally Graded Metamaterials With Perfect Connectivity

open access: yesAdvanced Science, EarlyView.
A latent diffusion‐based framework is proposed for designing functionally graded metamaterials with perfect connectivity. By integrating vector‐quantized latent representations with mechanistic guidance, the framework enables accurate inverse design toward target elastic properties.
Jongbin Yu, Dosung Lee, Namjung Kim
wiley   +1 more source

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