Results 241 to 250 of about 152,300 (264)

AI‐Driven Acceleration of Fluorescence Probe Discovery

Advanced Science, EarlyView.
We present PROBY, an AI model trained on large‐scale datasets to predict key photophysical properties and accelerate the discovery of target‐specific fluorescent probes. By screening a target‐annotated library, PROBY identifies candidate probes for diverse targets and could guide probe optimization, enabling a range of in vitro and in vivo imaging ...
Xuefeng Jiang, Yanbo Li, Xue Tian, Sen Yang, Ruina Luo, Cenxing Zhou, Yuxuan Liu, Jingying Hu, Sen Feng, Lu Gan, Chongzhao Ran, Kun‐Hsing Yu, Junhan Zhao, Xiao Han, Xuan Zhai, Yuntao Jia, Jiapei Dai, Xiyue Wang, Biyue Zhu   +18 more
wiley   +1 more source

Trustworthy AI-IoT for Citizen-Centric Smart Cities: The IMTPS Framework for Intelligent Multimodal Crowd Sensing. [PDF]

Sensors (Basel)
Li W, Li K, Xu Z, Wu M, Wu Y, Xiong Y, Huang S, Yin Y, Ma Y, Zhang H.   +9 more
europepmc   +1 more source

Halorotetin B, A Novel Terpenoid Compound Derived from Marine Ascidian, Suppresses Tumor Growth by Targeting the Cell Cycle Regulator UBE2C

Advanced Science, EarlyView.
Halorotetin B, a novel small‐molecule terpenoid identified from an edible marine ascidian, exhibits strong anti‐tumor activity both in vitro and in vivo through direct targeting UBE2C to induce tumor cell cycle arrest and then lead tumor cell senescence. As a newly discovered UBE2C inhibitor, Halorotetin B can serve as a novel potential cell senescence
Shanhao Han, Jianhui Li, Yuting Zhu, Penghui Liu, Yaoyao Zheng, Muchun He, Bo Dong   +6 more
wiley   +1 more source

Enhancing enterprise knowledge retrieval via cross-domain deep recommendation: a sparse data approach. [PDF]

Sci Rep
Li T.
europepmc   +1 more source

A Deep Representation Learning Method for Quantitative Immune Defense Function Evaluation and Its Clinical Applications

Advanced Science, EarlyView.
ImmuDef, a novel algorithm to quantitatively evaluate the anti‐infection immune defense function of an individual based on RNA‐seq data via a variational autoencoder (VAE) model. It is validated on 3200+ samples across four immune states with high accuracy. It can serve as a metric for disease severity and prognosis across pathogenic cohorts.
Zhen‐Lin Tan, Tao Luo, Yu Lin, Xiao‐Jun Wu, Wen‐Kang Shen, Jie Chen, Qian Lei, An‐Yuan Guo   +7 more
wiley   +1 more source

Don't Use LLMs to Make Relevance Judgments. [PDF]

Inf Retr Res J
Soboroff I.
europepmc   +1 more source

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

Advanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu, Penglei Wang, Gaoyuan Xu, Jitao Lu, Qinke Peng, Danyang Wu, Hequan Sun   +6 more
wiley   +1 more source

Development and evaluation of an agentic LLM based RAG framework for evidence-based patient education. [PDF]

BMJ Health Care Inform
AlSammarraie A, Al-Saifi A, Kamhia H, Aboagla M, Househ M.   +4 more
europepmc   +1 more source

The FOXC2‐LAMA4 Axis Orchestrates Vasculogenic Mimicry and Immunosuppressive Niche Formation to Drive Metastatic Cascade in Renal Cell Carcinoma

Advanced Science, EarlyView.
Advanced clear cell renal cell carcinoma metastasis is driven by a FOXC2+ tumor subpopulation. These cells execute vasculogenic mimicry for dissemination and secrete LAMA4. LAMA4 engages macrophage ITGA6, activating the STAT6/GATA3 axis to polarize macrophages into a pro‐metastatic, immunosuppressive phenotype.
Jiaxi Yao, Tong Xu, Chengyuan Wang, Chenyuan Wang, Junfeng Xie, Rui Zheng, Ke Wang, Xingzuo Jiang, Zewei Hu, Hongwei Jing, Lin Li, Tao Liu   +11 more
wiley   +1 more source

Trust and class aware service discovery with dual control in the social Internet of Things. [PDF]

Sci Rep
Rehman A, Gul MU, Hassan SR, Cengiz K, Ivković N, Mihaljević I.   +5 more
europepmc   +1 more source