Results 111 to 120 of about 19,275 (267)

A Novel IDO1/NE Dual Inhibitor, IMM‐H018 Prevents the Primary and Secondary Sepsis and Ameliorates the Kidney Injury Through Inhibiting the Cytokine Storm and Microthrombosis, and Reversing Immunosuppression

open access: yesAdvanced Science, EarlyView.
IMM‐H018, a dual IDO1/NE inhibitor, demonstrates potent therapeutic efficacy in sepsis by simultaneously targeting excessive inflammation and immune dysfunction. It prevents both primary and secondary sepsis through anti‐inflammatory, immune‐restoring, and renoprotective mechanisms, reducing organ damage, improving immune homeostasis, preserving kidney
Yi Zhou   +11 more
wiley   +1 more source

TourismNER: A Tourism Named Entity Recognition method based on entity boundary joint prediction

open access: yesIntelligent Systems with Applications
Tourism named entity recognition is indispensable in tourism information extraction, and plays a crucial role in constructing tourism knowledge map and enhancing tourism knowledge quiz system.
Kai Gao   +3 more
doaj   +1 more source

A Pan‐Methylome Framework for Population‐Scale Bacterial Epigenomics

open access: yesAdvanced Science, EarlyView.
A scalable quantitative framework unlocks population‐level comparative epigenomics in bacteria. By transforming site‐level data into standardized traits, this approach reconstructs methylation‐informed phylogenies and defines the core epigenome.
Bin Ma   +22 more
wiley   +1 more source

Nanovesicles With Mechanically Induced Adjuvanticity for Robust Melanoma Vaccination Toward Tumor‐Associated Macrophages

open access: yesAdvanced Science, EarlyView.
Rigidity‐tunable nanovesicle (P‐Pm) with mechanically induced adjuvanticity toward tumor‐associated macrophages (TAMs) was designed to engineer R848/gp100 antigen ‐loaded nanovaccine (P@Rg‐Pm), which achieved outstanding anti‐tumor outcomes in both therapeutic and preventive model of B16‐F10 melanoma.
Bangyue Luo, Liyan Qiu
wiley   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss   +21 more
wiley   +1 more source

Value of Information of Improved Traceability in Fresh Produce Markets

open access: yesAgribusiness, EarlyView.
ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris   +2 more
wiley   +1 more source

GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs

open access: yesAIChE Journal, EarlyView.
Abstract Piping and Instrumentation Diagrams (P&IDs) are central to process engineering workflows, yet extracting information from them remains a tedious and time‐consuming task. This work introduces ChatP&ID, a framework enabling natural‐language interaction with smart P&IDs through Graph Retrieval‐Augmented Generation (GraphRAG), to our knowledge ...
Achmad Anggawirya Alimin   +1 more
wiley   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing   +4 more
wiley   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer   +3 more
wiley   +1 more source

Named Clinical Entity Recognition Benchmark

open access: yesCoRR
Technical ...
Wadood M. Abdul   +8 more
openaire   +2 more sources

Home - About - Disclaimer - Privacy