Results 191 to 200 of about 24,897 (262)

A leakage-controlled and SHAP driven machine learning framework for paediatric respiratory disease classification using Indian hospital EHR data. [PDF]

BMC Med Inform Decis Mak
Shetty AP, Shetty S, Hegde P, Shetty S, Shetty N.   +4 more
europepmc   +1 more source

NQO1‐Mediated Anoikis Resistance and Immune Evasion Define a High‐Risk Multi‐Omic Subtype for Precision Management of T1 High‐Grade Bladder Cancer

Advanced Science, EarlyView.
Multi‐omic profiling of T1 high‐grade bladder cancer identifies a high‐risk subtype (T1HG1) driven by NQO1, which couples anoikis resistance with immune evasion. NQO1 orchestrates macrophage–T cell crosstalk suppression via CXCL9 modulation. Pharmacological NQO1 inhibition with skullcapflavone II enhances cisplatin efficacy, representing a promising ...
Bin Guo, Chunru Xu, Shufan Fu, Qiang Cheng, Juan Li, Linkuo Shang, Gaojie Li, Yang Yang, Ying Wang, Yanqing Gong, Shengwei Xiong, Jian Fan, Changwei Yuan, Mei Zhang, Yifan Zuo, Elena Papaleo, Yue Shi, Yuan Liang, Xuesong Li, Hongzhao Li, Weimin Ci   +20 more
wiley   +1 more source

FUCA2 Sustains AKT Signaling and Suppresses Senescence by Antagonizing FUT3‐Mediated ErbB3 Fucosylation in Lung Adenocarcinoma

Advanced Science, EarlyView.
ABSTRACT While targeted therapies have improved outcomes in lung adenocarcinoma (LUAD), many patients still lack targetable mutations. Here, we identified alpha‐L‐fucosidase 2 (FUCA2) as a crucial driver of LUAD by preventing cellular senescence. Mechanistically, through the restriction of fucosyltransferase 3 (FUT3)‐mediated α‐1,3‐fucosylation of ...
Lu Chen, Jintao Guo, Fei Li, Mingjie Gao, Runyang Li, Zhaozhang Huang, Yaolin Zheng, Chunyi Gao, Jihuan Hou, Qiang Yu, Bowen Zheng, Xuemei Chen, Wenqing Zhang, Xiaoting Hong, Yali Zheng, Daxuan Wang, Qiyuan Li, Tianhui Hu, Yan‐yan Zhan   +18 more
wiley   +1 more source

Predicting the Emergency Department Patient Journey Using a Machine Learning Approach. [PDF]

JMIR AI
Kovoor JG, Carmichael GJ, Stretton B, Gupta AK, Kleinig OS, Ittimani M, Fabian J, Tan S, Ng JS, Sateakeerthy S, Booth A, Beath A, Kefalianos J, Jacob MO, Ahmed S, Chan W, Kovoor P, Gluck S, Gilbert T, Malycha J, Reddi BA, Padbury RT, Trochsler MI, Maddern GJ, Chew DP, Zannettino AC, Liew D, Beltrame JF, O'Callaghan PG, Papendick C, Bacchi S.   +30 more
europepmc   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
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, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

Natural Language Processing of Clinical Notes for Cancer Research and Patient Care Prior to Widespread Adoption of Generative AI: Scoping Review. [PDF]

JMIR AI
Kayira AB, Elyazori HRA, Lybarger K, Walter FM, Chelala C, Funston G.   +5 more
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
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, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Automatic classification method of e-commerce commodity raw materials through the introduction of self-supervised concepts and the construction of domain ontology. [PDF]

Sci Rep
Lei B, Wang J, Shen C.
europepmc   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

Construction of Arbitrary-Order Internal Coordinate Transformations to Improve Studies of Large-Amplitude Motions. [PDF]

J Phys Chem A
Boyer MA, Tabor DP.
europepmc   +1 more source