SSR4, a TRAP component induced in B cells, governs BAFFR N‐glycosylation via DDOST to sustain NF‐κB signaling, B‐cell differentiation, and TLS maturation. Its loss impairs anti‐tumor immunity, while overexpression improves antibody glycosylation and ADCC, revealing a critical regulator for cancer immunotherapy.
Wei Zhao +15 more
wiley +1 more source
scCAPReSE: detection of large-scale genomic rearrangements from single-cell Hi-C based on few-shot learning. [PDF]
Kim K, Lee CH, Jung I.
europepmc +1 more source
Xenogeneic Mitochondrial Transplantation Improves Selected Age‐Associated Phenotypes in Mice
Yak‐derived xenogeneic mitochondrial transplantation improves selected age‐associated phenotypes in mice, enhances mitochondrial functional readouts, and engages host mitochondrial quality‐control pathways. Broad tissue biodistribution, increased ATP production and mtDNA copy number, reduced ROS levels and dysfunctional mitochondria, improved motility ...
Wenpeng Li +5 more
wiley +1 more source
AIFS: an efficient face recognition method based on AI and enhanced few-shot learning. [PDF]
Nasralla MM.
europepmc +1 more source
Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen +3 more
wiley +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
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Category Name Expansion and an Enhanced Multimodal Fusion Framework for Few-Shot Learning. [PDF]
Gao T +5 more
europepmc +1 more source
PDIA6–SCD1 Axis Rewires Lipid Metabolism to Drive Gastric Cancer Progression
Protein disulfide isomerase A6 (PDIA6) is identified as an oncogenic driver in gastric cancer. PDIA6 directly binds and stabilizes SCD1 by limiting its ubiquitin–proteasome‐mediated degradation, thereby sustaining monounsaturated fatty acid (MUFA)‐enriched lipid homeostasis and lipid metabolic reprogramming.
Zhen Tian +13 more
wiley +1 more source
ProtoMAP: prototypical network based few-shot learning for missed abortion prediction. [PDF]
Bo X +5 more
europepmc +1 more source

