Results 111 to 120 of about 147,861 (260)

From Ambition to Action: Barriers and Enablers for the Inclusion of Indigenous Peoples and Local Communities in the Kunming–Montreal Biodiversity Framework and the Role of Non‐State Bridge Organizations

open access: yesAdvanced Science, EarlyView.
Graphical abstract illustrating the transition from global biodiversity ambition to on‐the‐ground implementation of the Kunming–Montreal Global Biodiversity Framework after COP16, highlighting the roles of governments, non‐state actors, scientific knowledge systems, and resource mobilization in achieving transformative biodiversity outcomes.
Susan Enechojo Ogbe   +3 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

From Label‐Free Multiphoton Imaging to Pathological Reports: A Vision‐Language Breast Cancer Margin Pathological Diagnosis System

open access: yesAdvanced Science, EarlyView.
MarginPath is a novel vision‐language system that automates breast cancer margin assessment using a single label‐free multiphoton microscopy image. By integrating tumor‐associated collagen signatures with virtual H&E imaging, it generates accurate margin heatmaps and comprehensive diagnostic reports.
Shu Wang   +15 more
wiley   +1 more source

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

open access: yesAdvanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu   +5 more
wiley   +1 more source

Machine‐Learning‐Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive Magnetoelectronics

open access: yesAdvanced Science, EarlyView.
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu   +11 more
wiley   +1 more source

Endobody: Genetically Encodable Nanobody‐CPP Chimeras for Degradation of Membrane and Extracellular Proteins

open access: yesAdvanced Science, EarlyView.
We introduced genetically encodable, receptor‐independent nanobody‐CPP chimeras, termed endobodies, as robust and modular membrane protein degraders. Additionally, proteasome‐targeting domain (PTD)‐tethered endobody demonstrates further enhanced degradation potency.
Chengjian Zhou   +3 more
wiley   +1 more source

Spatiotemporal Targeting Randle Cycle and Immune Checkpoint for Potent Antitumor Therapy

open access: yesAdvanced Science, EarlyView.
A glucose oxidase‐based nanogel (GOX‐NG) system using catechol‐functionalized alginate, exhibits enhanced tumor penetration, prolonged retention, and sustained glucose depletion in the tumor microenvironment. When combined with a fatty acid oxidation inhibitor, it implements dual metabolic suppression, thereby enhancing ROS‐induced immunogenic cell ...
Yuan Gao   +11 more
wiley   +1 more source

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

open access: yesAdvanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio   +6 more
wiley   +1 more source

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