Results 151 to 160 of about 1,075,188 (246)
The impact of antidiabetic drugs on dementia risk: a Bayesian network meta-analysis. [PDF]
Yu Y, Peng X, Su C, Bai Y, Hou D.
europepmc +1 more source
MarginPath is a novel vision‐language system that automates breast cancer margin assessment using a single label‐free multiphoton microscopy image. By integrating tumor‐associated collagen signatures with virtual H&E imaging, it generates accurate margin heatmaps and comprehensive diagnostic reports.
Shu Wang +15 more
wiley +1 more source
Acupuncture-related therapies for drug addiction: a systematic review and network meta-analysis. [PDF]
Zhao H, Jang JH, Ryu YH, Han CH.
europepmc +1 more source
Ferritinophagy Rewires Carnitine‐Dependent Lipid Metabolism to Inhibit PRRSV and IAV Replication
NCOA4‐mediated ferritinophagy reprograms carnitine metabolism by disrupting Fe‐S cluster biogenesis, thereby establishing an iron‐lipid axis that suppresses various viruses, including PRRSV and IAV. However, viruses counteract this mechanism by degrading NCOA4.
Kaifeng Guan +7 more
wiley +1 more source
PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes
A plant genomic foundation model pre‐trained on 12 species enables both accurate gene prediction and de novo gene design. Through AI‐human knowledge screening, seven designed sequences showed transcriptional activity in plants, with two expressing stable proteins—demonstrating the first DNA‐RNA‐protein expression of LLM‐generated genes in plants and ...
Changhao Li +10 more
wiley +1 more source
Analysing complex interventions using component network meta-analysis.
Veroniki AA +7 more
europepmc +1 more source
Comparative efficacy of electric toothbrush technologies in plaque and gingivitis reduction: a network meta-analysis. [PDF]
Luo C +8 more
europepmc +1 more source
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source
This work proposes and constructs the Hefei‐NAMD‐S framework based on machine learning stacked models to investigate the relationship between local polarization and non‐radiative recombination. The results indicate that, compared with A‐site local polarization, B‐site local polarization shows a more evident association with the non‐radiative ...
Bing Yang +13 more
wiley +1 more source

