Results 51 to 60 of about 1,698 (255)

CORE: Cholesterol Altered Lipid Nanoparticles for Splenic Expression of mRNA Payloads

Advanced Healthcare Materials, EarlyView.
In this paper researchers introduce CORE LNPs, a new class of lipid nanoparticles engineered to redirect mRNA expression away from the liver and into the spleen, a key immune organ. By combining chemical design with computational tools, they created cholesterol analogs that enable precise spleen‐targeted expression, providing greater applications for ...
Eshan A. Narasipura, Vincent Fung, Rachel VanKeulen‐Miller, Palas B. Tiwade, Owen S. Fenton   +4 more
wiley   +1 more source

Airborne 1O2 Delivery via a Superhydrophobic Dressing as a Pathway to Next‐Generation Wound Therapies, an in Vivo Murine Burn Model Study

Advanced Healthcare Materials, EarlyView.
Schematic illustration of the SH bandage placed on an infected burn wound and its role in wound healing. A superhydrophobic PDMS membrane coated with the PS verteporfin is placed over the wound area and illuminated with a red laser at 690 nm, generating airborne 1O2 above the tissue.
Fernanda Viana Cabral, QianFeng Xu, Natalie Eidenschink, Pareesha Haresh, Alessandra Nara de Souza Rastelli, Jeremy Goverman, Alexander Greer, Alan M. Lyons, Tayyaba Hasan   +8 more
wiley   +1 more source

Bacteria‐Responsive Nanostructured Drug Delivery Systems for Targeted Antimicrobial Therapy

Advanced Materials, EarlyView.
Bacteria‐responsive nanocarriers are designed to release antimicrobials only in the presence of infection‐specific cues. This selective activation ensures drug release precisely at the site of infection, avoiding premature or indiscriminate release, and enhancing efficacy.
Guillermo Landa, Gracia Mendoza, Silvia Irusta, Manuel Arruebo   +3 more
wiley   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source

Using Earley Parser for Verification of Totally Ordered Hierarchical Plans

Proceedings of the International Florida Artificial Intelligence Research Society Conference
Hierarchical planning extends classical planning by capturing the hierarchical structure of tasks via decomposition of tasks to subtasks. Hierarchical plan verification is the problem of determining whether a given plan is valid according to that ...
Kristýna Pantůčková, Simona Ondrčková, Roman Barták   +2 more
doaj   +1 more source

Decoding Triphenotypic Neutrophils in Cervical Cancer Evolution and Targeting SPP1+/GBP1+/ELOVL5+ Tumor‐Associated Neutrophils to Sensitize Immunotherapy

Advanced Science, EarlyView.
The functional schematic diagram of tumor associated neutrophils. Abstract Enhancing cervical cancer (CC) immunotherapy requires deciphering the heterogeneous tumor immune microenvironment (TIME), particularly neutrophil phenotypic dynamics. Here, 1) we collected 543 CC cases to find that patients with elevated neutrophil levels have a higher incidence
Xingyu Chang, Xinyu Qu, Tingting Ren, Tong Wu, Weiyong Gu, Jingxin Ding, Keqin Hua, Junjun Qiu   +7 more
wiley   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

Advanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li, Haifan Gong, Yue Wang, Yinuo Zhao, Lixiang Li, Peijing Bao, Qingzhou Kong, Jialu Fu, Boyao Wan, Yumeng Zhang, Jinghui Zhang, Jiekun Ni, Zhongxue Han, Xueping Nan, Kunping Ju, Longfei Sun, Yuerui Ma, Huijun Chang, Mengqi Zheng, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +23 more
wiley   +1 more source

TRX: A Formally Verified Parser Interpreter [PDF]

Logical Methods in Computer Science, 2011
Parsing is an important problem in computer science and yet surprisingly little attention has been devoted to its formal verification. In this paper, we present TRX: a parser interpreter formally developed in the proof assistant Coq, capable of producing
Adam Koprowski, Henri Binsztok
doaj   +1 more source

Functional Mapping of Neurodevelopmental Disease Pathways to Key Neurodevelopmental Processes Represented in the Developmental Neurotoxicity In Vitro Testing Battery

Advanced Science, EarlyView.
Human‐relevant methods are essential for modern chemical safety assessment. This study helps define the capabilities and boundaries of an in vitro testing battery for developmental neurotoxicity by exploring its biological applicability domain. By linking neurodevelopmental disease‐related pathways to key neurodevelopmental processes, the work enhances
Eliska Kuchovska, Kristina Bartmann, Georgea Raad, Mats Schade, Luiz Ladeira, Arif Dönmez, Jördis Klose, Nicolai Görts, Denis Polozij, Lynn‐Christin Saborowski, Farina Bendt, Bernard Staumont, Liesbet Geris, Katharina Koch, Ellen Fritsche   +14 more
wiley   +1 more source

Random generation of RNA secondary structures according to native distributions

Algorithms for Molecular Biology, 2011
Background Random biological sequences are a topic of great interest in genome analysis since, according to a powerful paradigm, they represent the background noise from which the actual biological information must differentiate.
Nebel Markus E, Scheid Anika, Weinberg Frank   +2 more
doaj   +1 more source