Results 221 to 230 of about 130,528 (293)
The evolution of real-world evidence in lung cancer: a bibliometric analysis from 2009 to 2024. [PDF]
Liu KK, Wang MK, Hou TT, Gong WJ, Wu SL.
europepmc +1 more source
After liver transplantation, ischemia‐reperfusion injury is more severe in pericentral regions. Multiomic analyses of human grafts and mouse models identify FOXO1 activation in pericentral hepatocytes as an upstream driver of SAA secretion. SAA recruits and activates FPR2+ macrophages, amplifying local inflammation. Amilo‐5MER inhibits SAA bioactivity,
Feng Zhang +19 more
wiley +1 more source
From feasibility to translational pathways: a bibliometric and knowledge-mapping analysis of urine-based liquid biopsy in urologic cancers (2015-2025). [PDF]
Liu H +8 more
europepmc +1 more source
We demonstrate the fabrication of a series of reduced‐GO nanofiltration membranes containing intercalated polyaromatic conjugated molecules of different structural classes. These tuned‐nanochannel membranes perform “deep nanofiltration” with remarkably high monovalent salt rejections and near‐total divalent salt rejections in a large concentration ...
Muskan Sonker, Sankar Nair
wiley +1 more source
Global research trends in biliary atresia-related liver fibrosis: a bibliometric analysis (2000-2024). [PDF]
Zhang Y, Li B, Xia S, Wang T.
europepmc +1 more source
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
Unveiling the Scientific Landscape and Trends of Cutaneous Immune-Related Adverse Events: A Bibliometric Analysis. [PDF]
Zhong D, Shi C.
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source

