Results 121 to 130 of about 89,234 (277)

A Microbial Lipid‐ATP Synthase Axis Fuels NK Cell Antitumor Activity

Advanced Science, EarlyView.
This study focuses on the mechanism by which gut microbiota‐derived outer membrane vesicles (OMVs) regulate NK cell antitumor activity. B. intestinalis is identified to decrease extra‐intestinal tumor growth via its OMVs enriched in sphingosine (SP).
Kaiyuan Yu, Xinyu Sun, Wanxia Ma, Jianming Yang, Xuan Sun, Lisong Zhang, Yumeng Liu, Tianshu Ren, Qi Wang, Jingyu Wang, Xiao Li, Xianping Peng, Liu Yang, Junqiang Lv, Zhi Yao, Zhi‐Song Zhang, Quan Wang   +16 more
wiley   +1 more source

AlzheimerRAG: Multimodal Retrieval-Augmented Generation for Clinical Use Cases

Machine Learning and Knowledge Extraction
Recent advancements in generative AI have fostered the development of highly adept Large Language Models (LLMs) that integrate diverse data types to empower decision-making.
Aritra Kumar Lahiri, Qinmin Vivian Hu
doaj   +1 more source

Provably Secure Retrieval-Augmented Generation

Although Retrieval-Augmented Generation (RAG) systems have been widely applied, the privacy and security risks they face, such as data leakage and data poisoning, have not been systematically addressed yet. Existing defense strategies primarily rely on heuristic filtering or enhancing retriever robustness, which suffer from limited interpretability ...
Zhou, Pengcheng, Feng, Yinglun, Yang, Zhongliang   +2 more
openaire   +2 more sources

Learnable Diffusion Framework for Mouse V1 Neural Decoding

Advanced Science, EarlyView.
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng, Peter S. Schwendeman, Yuanfang Guan   +2 more
wiley   +1 more source

Retrieval-augmented patch generation for geosynchronous satellite status forecasting

Scientific Reports
Accurate geosynchronous satellites status forecasting is essential for improving space situational awareness and supporting downstream tasks such as maneuver detection and intent inference.
Shu-He Tian, Yu-Qiang Fang, Ya-Sheng Zhang   +2 more
doaj   +1 more source

Retrieval-Augmented Generation (RAG) in Healthcare: A Comprehensive Review

AI
Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by integrating external knowledge retrieval to improve factual consistency and reduce hallucinations. Despite growing interest, its use in healthcare remains fragmented.
Fnu Neha, Deepshikha Bhati, Deepak Kumar Shukla   +2 more
doaj   +1 more source

Targeting m6A Reader YTHDF1 Enhances Antitumor Immunity and Potentiates Anti‐PD‐L1 Efficacy in Intrahepatic Cholangiocarcinoma

Advanced Science, EarlyView.
The m6A reader YTHDF1 drives intrahepatic cholangiocarcinoma (ICC) progression by remodeling the tumor immune microenvironment. YTHDF1 promotes MDSC recruitment via activation of m6A‐FOSL2‐CXCL6/CXCR2 axis, thereby suppressing CD8+ T cell infiltration and function.
Li Luo, Ziqin Liu, Zimin Song, Dong Zhang, Cong Liang, Fei Fang, Kai Lei, Lina Wang, Weikang Chen, Shunli Shen, Ming Kuang, Xiaoxing Li, Jun Yu, Shiyan Wang, Lixia Xu   +14 more
wiley   +1 more source

Retrieval-Augmented Generation for AI-Generated Content: A Survey

Data Science and Engineering
Advancements in model algorithms, the growth of foundational models, and access to high-quality datasets have propelled the evolution of Artificial Intelligence Generated Content (AIGC).
Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, Fangcheng Fu, Ling Yang, Wentao Zhang, Jie Jiang, Bin Cui   +9 more
doaj   +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

Clinical entity augmented retrieval for clinical information extraction

npj Digital Medicine
Large language models (LLMs) with retrieval-augmented generation (RAG) have improved information extraction over previous methods, yet their reliance on embeddings often leads to inefficient retrieval.
Ivan Lopez, Akshay Swaminathan, Karthik Vedula, Sanjana Narayanan, Fateme Nateghi Haredasht, Stephen P. Ma, April S. Liang, Steven Tate, Manoj Maddali, Robert Joseph Gallo, Nigam H. Shah, Jonathan H. Chen   +11 more
doaj   +1 more source