Results 201 to 210 of about 3,045 (256)

Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang   +11 more
wiley   +1 more source

V2CTx MXene as a Sacrificial Promoter for NiFe Catalyst for Anion Exchange Membrane Electrolyzers

open access: yesAdvanced Science, EarlyView.
These findings demonstrate that V2CTx functions beyond passive conductive support as an active electronic participant whose structural legacy sustains durable performance even after vanadium leaching in Anion Exchange Membrane (AEM) Electrolysers. ABSTRACT Nickel‐iron layered double hydroxides (NiFe‐LDH) show excellent activity, their poor conductivity
Bastian Schmiedecke   +12 more
wiley   +1 more source

Making Sweat Measurable: Induction, Sampling, and Refreshment in Wearable Biofluid Sensing

open access: yesAdvanced Science, EarlyView.
Wearable sweat sensing relies not only on chemical detection but also on controlled biofluid management. This Review integrates sweat physiology, induction strategies, and microfluidic sampling architectures, demonstrating how flux, transport, and refreshment shape measurement reliability.
Soyoung Shin, Wei Gao
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

Quantum Photothermal Self‐Monitoring Fiber Probes for In Vivo Photothermal Therapy

open access: yesAdvanced Science, EarlyView.
A miniaturized quantum photothermal fiber probe based on a metal/polymer/glass composite optoelectronic fiber that simultaneously guides lightwave and microwave was developed for the first time. The probe achieves enhanced photothermal conversion (13°C/mW, 25°C–120°C range) while providing real‐time self‐monitoring with 0.2°C thermal resolution at the ...
Wanjun Li   +12 more
wiley   +1 more source

A Humanized Anti‐gD Broadly Neutralizing Antibody Confers Complete Post‐Exposure Protection against Pseudorabies Virus

open access: yesAdvanced Science, EarlyView.
Pseudorabies virus (PRV), an emerging zoonotic α‐herpesvirus, causes life‐threatening human encephalitis. We identified a broad‐spectrum neutralizing antibody 6F7 targeting PRV gD. It blocks gD‐Nectin‐1 binding and membrane fusion, inhibiting replication across all PRV variants, representing a promising candidate for anti‐PRV therapy.
Yue Sun   +11 more
wiley   +1 more source

A Multimodal Magnetically Driven Soft Robot With Integrated Actuation‐Sensing Based on Photothermal Reprogramming Technology

open access: yesAdvanced Science, EarlyView.
This work reports a thermally safe, photothermally reprogrammable magnetic soft robot with its reprogramming temperature tuned to ∼39.5°C for biocompatibility. It achieves multimodal locomotion (max speed of 1.8 BL/s) and integrates liquid‐metal capacitive sensing to monitor self‐motion and detect environmental changes in simulated gastric environments,
Liu Yang   +5 more
wiley   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

open access: yesAdvanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

open access: yesAdvanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang   +10 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

open access: yesAdvanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram   +4 more
wiley   +1 more source

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