Results 41 to 50 of about 3,879 (212)

Self‐Adaptive Allantoin@ZIF8 Nanocomposite Hydrogel with Resveratrol Synergy for MRSA‐Infected Wound Regeneration

Advanced Science, EarlyView.
Based on allantoin‐loaded ZIF8 nanoparticles (Alla@ZIF8) and methacrylated quaternary ammonium carboxymethyl chitosan/resveratrol composite hydrogels (RMQCC), an adaptive multifunctional hydrogel system (Alla@ZIF8‐Gel) was constructed and confirmed to induce the healing of MRSA‐infected wounds via suppressing bacterial proliferation, alleviating ...
Yongjie Zhu, Dun Liu, Mengran Zhao, Xinyi Jian, Enuo Peng, Xingping Zhao, Zezhang Zhu, Bolin Tang, Benlong Shi   +8 more
wiley   +1 more source

Endogenous Ceramide 24:1 Constrains Th17‐Driven Neutrophilic Inflammation by Antagonizing EP2 Signaling

Advanced Science, EarlyView.
Cer24:1 levels are reduced in neutrophilic asthma and inversely correlate with disease severity and airway neutrophilia. Restoring Cer24:1 suppresses pathogenic Th17 differentiation by engaging EP2 on CD4+ T cells, thereby dampening the JAK2–STAT3–RORγt axis and reducing IL‐17 production.
Huan Liu, Abudureyimujiang Aili, Zheng Kuang, Liting Cao, Zemin Li, Ying Shang, Yingying Ge, Tingting Hu, Yongchang Sun, Wuli Zhao, Rong Jin, Chun Chang   +11 more
wiley   +1 more source

Integrating Spatial Proteogenomics in Cancer Research

Advanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang, Yang Wu, Feng Zhang, Parthiban Periasamy, Haiyue You, Denise Goh, Rachel Elizabeth Ann Fincham, Xin Ning, Danping Wu, Lu Liu, Ying Jiang, Zhiwen Qian, Joe Yeong, Yan Zhang   +13 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

High‐Sensitive Mass Cytometry Metal Tags Based on Noble Metal Nanoparticles Assisting Acute Myeloid Leukemia Immune Checkpoint Profiling

Advanced Science, EarlyView.
ABSTRACT Mass cytometry is optimal for acute leukemia immune checkpoint profiling. However, current commercial metal‐chelating polymer (MCP) metal tags limit its sensitivity due to low metal loading capacity. We report a novel synthetic strategy employing antibody‐conjugated gold or platinum nanoparticles (AuNP/PtNP) for high‐dimensional single‐cell ...
Zhizhou Liu, Yu Yang, Lingfei Qiu, Yi Yang, Jingrui Li, Juan Yue, Yinghui Li, Yingdai Gao, Pengli Bai   +8 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

How does the Kids SIPsmartER program impact the sugar‐sweetened beverage intake of students: An investigation beyond total treatment effect in randomized controlled trial

American Journal of Agricultural Economics, EarlyView.
Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin, Wen You, Annie Reid, Kathleen Porter, Brittany Kirkpatrick, Jamie Zoellner   +5 more
wiley   +1 more source

Psychiatric and Cognitive Features in Italian Women With the FMR1 Premutation: A Comprehensive Assessment Using SCID‐5 and Standardized Cognitive Measures

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT Women with the FMR1 premutation (PM) are at increased risk for fragile X‐associated conditions (FXPAC), including cognitive and psychiatric features collectively termed fragile X‐associated neuropsychiatric disorders (FXAND). This study is the first to systematically investigate cognitive and psychiatric features in Italian female premutation ...
Federica Alice Maria Montanaro, Randi J. Hagerman, Giuseppina Spano, Flora Tassone, Giancarlo Logroscino, Andrea Bosco   +5 more
wiley   +1 more source

Galois automorphisms on Harish-Chandra series and Navarro’s self-normalizing Sylow $2$-subgroup conjecture

Transactions of the American Mathematical Society, 2018
Accepted version: to appear in Transactions of the ...
openaire   +2 more sources

Olfactory Bulb Volume Reflects Olfactory Dysfunction and Network Organization: Insights From the Population‐Based Rhineland Study

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Olfactory dysfunction is common in aging and an early symptom of neurodegenerative diseases, but how structural (olfactory bulb [OB] volume) and functional (olfactory network [OFN] functional connectivity [FC]) brain features interact to shape odor identification ability remains unclear.
Weiyi Zeng, Konstantinos Melas, Santiago Estrada, N. Ahmad Aziz, Monique M. B. Breteler   +4 more
wiley   +1 more source