Results 181 to 190 of about 3,627,751 (263)

Uncoupling Type I Interferon Benefits From Inflammatory Toxicity: Transformer‐Prioritized Precision Agonists for Potent and Safer Cancer Immunotherapy

Advanced Science, EarlyView.
A Transformer‐based AI framework, DLINP, screens millions of compounds to identify Co68, a cobalt‐pincer organometallic complex that biases TLR4‐MD2 signaling toward antitumor interferon activation while suppressing inflammatory toxicity through an early TLR4‐SYK‐STAT1 axis.
Xuefei Guo, Yang Zhao, Xianle Rong, Xingyu Chen, Xiao Wang, Tianyi Liu, Yunfei Xie, Yushu Zou, Pingsen Zhao, Qiang Liu, Fuping You   +10 more
wiley   +1 more source

Gut Microbiota‐Isoallolithocholic Acid Crosstalk Promotes Calcium Oxalate Kidney Stone Formation via PARP1‐Mediated Parthanatos

Advanced Science, EarlyView.
ABSTRACT Bile acids have been implicated in calcium oxalate (CaOx) nephrolithiasis. Here, we employ multi‐omics approaches to identify isoallolithocholic acid (isoalloLCA) as the key bile acid elevated in the feces, serum, kidney, and urine of CaOx rats, confirmed by spatial metabolomics.
Zijian Zhou, Ruixi Yu, Xuan Zhou, Feng Shi, Zeyu Lin, Peng Gao, Lujia Wang, Ninghan Feng, Zhong Wu, Dawei Wang   +9 more
wiley   +1 more source

Diagnostic Performance of Platelet-to-Lymphocyte Ratio and CA19-9 Added to EUS-FNA for Solid Pancreatic Lesions: A Single-Center Retrospective Study. [PDF]

Int J Gen Med
Liu S, Hu C, Fan Y, Liu L, Hu Y.
europepmc   +1 more source

Multiplexed Profiling of Individual Extracellular Vesicles Reveals Lung Cancer‐Associated Protein Signatures

Advanced Science, EarlyView.
Cygnus (Cyclic‐imaging gateway to nanovesicles underlying signature) integrates multiplexed single‐EV protein imaging with a practical analysis workflow to examine EV phenotypes at vesicle, subpopulation, and sample scales. ABSTRACT Lung cancer is frequently diagnosed after curative treatment windows have narrowed, creating a need for minimally ...
Mi Hyeon Cho, Yein Chung, Yoonjeong Choi, Baekdong Cha, Jayeon Song, Nuri Oh, Ala Jo, Thomas S. C. Ng, Hyunho Kim, Hyun‐Kyung Woo, Chang Hyun Kim, Cesar M. Castro, Miles A. Miller, Hakho Lee   +13 more
wiley   +1 more source

Development and validation of machine learning models to predict 30-day mortality in patients with cardiac arrest complicated by acute kidney injury. [PDF]

Clinics (Sao Paulo)
Yuan M, Zhong L, Min J, Ni M, Yao Y.
europepmc   +1 more source

Tissue‐Agnostic Cellular Morphometric Biomarkers for Risk‐Adapted Management Across Gastrointestinal Precancerous Lesions and Cancers

Advanced Science, EarlyView.
An interpretable, unsupervised artificial intelligence framework identifies a 13‐cellular morphometric biomarker (CMB) signature from routine H&E whole‐slide images. Validated across 2,602 patients, the fixed signature generalizes across colorectal, gastric, and esophageal tissues without retraining, stratifies prognosis and precancerous lesion risk ...
Pin Wang, Chengfei Jiang, April W. Mao, Qi Sun, Yijun Lu, Jingjing Wei, Jamie L. Inman, Susan E. Celniker, Antoine M. Snijders, David W. Threadgill, Allan Balmain, Bo Hang, Hang Chang, Lei Wang, Jian‐Hua Mao   +14 more
wiley   +1 more source

Prognostication of Acute Kidney Injury Following Percutaneous Coronary Intervention: A Machine Learning Approach. [PDF]

JACC Adv
Itelman E, Altman Y, Yacobi B, Rotmensh A, Steinmetz T, Codner P, Levi A, Talmor-Barkan Y, Witberg G, Kornowski R, Perl L, Skalsky K.   +11 more
europepmc   +1 more source

CHST1 Drives Immunotherapy Resistance in Triple‐Negative Breast Cancer by Orchestrating an Immunosuppressive Microenvironment via the NKRF–CCL20–Macrophage Axis

Advanced Science, EarlyView.
Proposed model of CHST1‐associated immune remodeling in triple‐negative breast cancer. In CHST1‐low tumors, greater nuclear accumulation of NKRF is associated with repression of an NF‐κB‐related CCL20 transcriptional program and an immune‐inflamed microenvironment.
Shu‐Hao Jiang, Xiao‐Han Ying, Ruo‐Qing Wang, Qun Zhang, Li Chen, Zhi‐Ming Shao, Jun‐Jie Li   +6 more
wiley   +1 more source

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

Advanced Science, EarlyView.
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko, Eric S. Larsen, Govind Paneru, Kisung Lee, Diana V. Kolygina, Yankai Jia, Elizabeth Maria Clarissa, Wai‐Shing Wong, Bartosz A. Grzybowski   +8 more
wiley   +1 more source

Development and validation of a machine learning prediction model for postoperative arrhythmia after left atrial appendage occlusion. [PDF]

Medicine (Baltimore)
Xu L, Niu S, Yang S, Wang Y, Liu M, Qin X, Zhao Y.   +6 more
europepmc   +1 more source