Results 91 to 100 of about 6,064 (288)
By integrating data from in vitro, ex vivo, and in vivo models, our research identifies the MARV glycoprotein as a remarkable hemorrhagic factor, filling a major gap in this important field. It also provides practical experimental tools for the basic research on viral pathogenesis and applied research aimed at antiviral intervention for hemorrhagic ...
Ting Yao +11 more
wiley +1 more source
Osteosarcoma is the most common primary bone tumor with limited treatment options and a terrible prognosis. This review provides a comprehensive summary of the recent development of osteoimmunomodulatory implants for post‐operative osteosarcoma treatment, of which the potential utility in evoking durable anti‐osteosarcoma immunity and accelerating bone
Yilong Dong +6 more
wiley +1 more source
Sequential pattern mining deals with data represented as sequences (a sequence contains sorted sets of items). Compared to the association rule problem, a study of such data provides “inter-transaction” analysis (Agrawal & Srikant, 1995 ...
Maguelonne Teisseire +2 more
core +1 more source
Zinc Exposure Causes Disulfidptosis to Induce Miscarriage by Up‐Regulating GATA1/METTL1/SLC7A11 Axis
Zn exposure up‐regulates GATA1, promoting GATA1‐mediated METTL1 and SLC7A11 transcription. It also enhances METTL1‐mediated m7G modification on SLC7A11 mRNA, increasing SLC7A11 mRNA stability. Ultimately, Zn exposure up‐regulates SLC7A11 at both transcriptional and post‐transcriptional levels, causing disulfidptosis. Knockdown of murine Slc7a11, Gata1,
Wenxin Huang +16 more
wiley +1 more source
Mining Sequential Patterns Using Hybrid Evolutionary Algorithm
Mining Sequential Patterns in large databases has become an important data mining task with broad applications. It is an important task in data mining field, which describes potential sequenced relationships among items in a database.
Hebah. ElGibreen +5 more
core +2 more sources
Pattern Mining-Based Pig Behavior Analysis for Health and Welfare Monitoring
The increasing popularity of pigs has prompted farmers to increase pig production to meet the growing demand. However, while the number of pigs is increasing, that of farm workers has been declining, making it challenging to perform various farm tasks ...
Hassan Seif Mluba +4 more
doaj +1 more source
Sequential pattern mining deals with data represented as sequences (a sequence contains sorted sets of items). Compared to the association rule problem, a study of such data provides “inter-transaction” analysis (Agrawal & Srikant, 1995 ...
Maguelonne Teisseire +2 more
core +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
This study identifies SNRPF as a critical oncogenic driver in ovarian cancer. By regulating a self‐sustaining SNRPF–DDX24–E2F4 feedback loop through intron retention and nonsense‐mediated decay, SNRPF couples RNA splicing with transcriptional regulation to promote tumor progression.
Yingwei Li +4 more
wiley +1 more source
In ovarian cancer, MEOX1 activates the SPHK1/S1P pathway to promote both tumor progression and tumor–stroma crosstalk. MEOX1‐dependent signaling drives CAF activation, enhances VEGF‐C expression, and stimulates lymphangiogenesis, ultimately facilitating lymph node metastasis.
Jiajia Li +10 more
wiley +1 more source

