Results 151 to 160 of about 454,593 (211)

Mitochondrial Carrier SLC25A13 Drives Ferroptosis Resistance and Immune Evasion via a STAT3–IFI6 Circuit in Breast Cancer

Advanced Science, EarlyView.
SLC25A13 is identified as an immunometabolic driver of triple‐negative breast cancer that sustains ferroptosis resistance and immune evasion through a STAT3–IFI6 circuit. Pharmacologic degradation of SLC25A13 restores ferroptosis sensitivity and enhances anti‐PD‐1 efficacy, highlighting a strategy to convert immune‐cold tumors into immunotherapy ...
Yingze Zhu, Yuhan Tang, Yingcui Chen, Zhuoqi Zhang, Yige Lu, Xinyue Wang, Qiyuan Shi, Wenhui Zhao, Hui Pang   +8 more
wiley   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, EarlyView.
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

An Immune Model Incorporating NK Cells and IL-12 to Predict the Efficacy of the Initial Treatment Cycle of Efgartigimod in Generalized Myasthenia Gravis. [PDF]

Drug Des Devel Ther
Xin H, Zhong Y, Zhang M, Wu L, Li Q, Li X, Wu Y, Zhang L, Peng J, Xie C, Zhu D, Hao Y, Guan Y, Wang K.   +13 more
europepmc   +1 more source

AUC's brandlaboratorium

, 1977
Hviid, Niels Jørgen, Olesen, Frits Bolonius   +1 more
openaire   +1 more source

Epitope‐Resolved Digital SERS Profiling of Structurally Dynamic Antigens via a Multi‐Epitope Bispecific Antibody Framework

Advanced Science, EarlyView.
A multi‐epitope digital surface‐enhanced Raman spectroscopy framework enables epitope‐resolved immunoprofiling by integrating bispecific antibody fragments with spectrally encoded nanotags. This approach decouples binding events into independent digital channels, allowing structure‐aware antigen analysis.
Jing Wang, Quan Zhou, Kym Lowry, Christopher B. Howard, Matt Trau   +4 more
wiley   +1 more source

The Diagnostic Value of Deep Learning for Multi-Classification of Rectal Cancer T Staging Based on Regional Attention. [PDF]

Diagnostics (Basel)
Qiu C, Xia Y, Feng Z, Liu K, Zhong R, Liu H, Zhang H, Guo W, Wan S, Wang W, Zou B.   +10 more
europepmc   +1 more source

Pathological Mechanism‐Inspired Biomimetic Nano‐Senotherapy for Reversing Experimental Atherosclerosis in ApoE−/− Mice

Advanced Science, EarlyView.
The biomimetic self‐assembly nanomedicine reversing atherosclerosis via senotherapy strategy. ABSTRACT The greatest challenge in atherosclerosis (AS) management lies in achieving lesion reversal, not merely slowing progression. Senescent cell accumulation—driven by continuous generation and apoptotic resistance—perpetuates plaque pathology and ...
Yuhan Tian, Yanrui Yang, Qiuyu Li, Ying Hu, Qin Hu, Shasha Ran, Siyu Zhou, Xiujuan Yang, Shanshan Li, Qixiong Zhang   +9 more
wiley   +1 more source

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

Advanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang, Zhiyuan Cheng, Chengying She, Hongwei Zhao, Jiahui Zhang, Lin Lv, Zhihao Yan, Hongwen Zhu, Lizhuang Liu, Yan Fu, Xinpei Yi   +10 more
wiley   +1 more source