Results 181 to 190 of about 123,356 (289)
ABSTRACT Hepatocellular carcinoma (HCC) remains a significant clinical challenge due to the limited efficacy of conventional treatments like surgery, radiofrequency ablation (RFA), and transarterial embolization (TAE). Here, we develop an innovative TAE and immunothermal therapy strategy based on smartly assembled near‐micron layered double hydroxide ...
Qitao Hu +12 more
wiley +1 more source
This study designs a targeted nanocomposite (ct@HMCF‐Dex) that responds to acidic infection microenvironments, releasing components which amplify oxidative stress. It disrupts bacterial redox balance, chelates metals to sustain lipid peroxidation, and synergistically induces cuproptosis/ferroptosis‐like death.
Zehui Xiao +6 more
wiley +1 more source
SETD1A is a key epigenetic regulator in NPCs during IDD. In normal NPCs, it sustains H3K4me3–HELZ2/PPARα–HIF1α signaling to maintain glycolytic energy metabolism and proliferation. In degenerated NPCs, reduced SETD1A disrupts this axis, impairing glycolysis and accelerating senescence, highlighting a promising therapeutic target for IDD.
Jiawei Fu +11 more
wiley +1 more source
Advanced Dental Composite Technology via Bisilanized Dual‐Action Nanofillers for Biofilm Control
A multimodal research strategy has led to the development of an innovative resin‐based composite (RBC) with dual antibacterial action. The S_CM‐RBC formula showed strong antibiofilm activity, excellent mechanical strength, and biosafety. It effectively controlled oral bacteria in prevention of caries recurrence, and maintained pulp health in a rat ...
Chenmin Yao +11 more
wiley +1 more source
A dual‐network protein hydrogel substantially improves hemostasis and scar‐free healing.The adaptive network maintains intimate tissue contact while providing strong wet adhesion, tunable mechanics, and controlled degradation. Concurrent ROS scavenging and M2 polarization suppress fibrotic pathways, preventing scar formation.
Xiaomei Li +11 more
wiley +1 more source
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
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
AI Powered Biobanks From Static Archives to Dynamic Discovery Engines
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin +5 more
wiley +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source

