Results 161 to 170 of about 183,407 (264)

Paradoxical myocardial infarction risk with dual antiplatelet therapy in East Asian ischaemic stroke: a nationwide real-world cohort study and pharmacogenomic risk prediction model. [PDF]

Ther Adv Neurol Disord
Yang CT, Lin JJ, Chen PJ, Hsu WL, Chen DC, Lin YH, Chen CH, Lin CL, Huang HM, Chen X.   +9 more
europepmc   +1 more source

Engineering Ultrastable Intrinsic Radicals: Graphene Quantum Dots With NIR‐II Emission for Dynamic Deep‐Tissue Bioimaging

Advanced Science, EarlyView.
Stable radicals are attractive for photonic and quantum information technologies but are often limited by instability. We stabilize intrinsic radicals in graphene quantum dots via 2D polymerization of perylene derivatives, where bilayer defect confinement suppresses quenching (100–500 K).
Qin Xu, Yijie Hou, Bingzhe Wang, Tesen Zhang, Yupeng Liu, Shuaiqi Li, Maohua Chen, Guichuan Xing, Dongbo Guo, Songnan Qu   +9 more
wiley   +1 more source

Association of anticoagulant and antiplatelet therapy with acute cerebral infarction in patients presenting with isolated vertigo or dizziness: A retrospective cohort study. [PDF]

PLoS One
Kim D, Jo S, Hwang I, Park B, Kim MJ.
europepmc   +1 more source

TSTScope Unifies Single‐Cell Multi‐Omics to Identify Functional T Cell States Predictive of Immunotherapy Response

Advanced Science, EarlyView.
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao, Jinyu Cheng, Feng‐ao Wang, Chenxin Yi, Jiajun Chen, Keyue Wang, Lulu Liu, Junwei Liu, Yixue Li   +8 more
wiley   +1 more source

Is Aspirin Still Indispensable After PCI-Rethinking Dual Antiplatelet Therapy in Contemporary Practice. [PDF]

J Cardiovasc Dev Dis
Yadav K, Ahmed SES, Abdelgader M, Khalid R, Veerasamy M, Das A, Bulluck H.   +6 more
europepmc   +1 more source

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

Advanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 more
wiley   +1 more source

Genetically Predicted Use of Common Analgesics and Risk of Chronic Obstructive Pulmonary Disease: A Bidirectional Mendelian Randomization Study. [PDF]

Int J Chron Obstruct Pulmon Dis
Chen G, You W.
europepmc   +1 more source

Topology‐Enabled Finite‐Band Absorption Framework Based on a Bioinspired Nested Dual‐Loop Architecture

Advanced Science, EarlyView.
A nuclear‐pore‐inspired nested dual‐loop architecture redistributes electromagnetic energy through coupled transport, confinement, and dissipation pathways. Integrated with Co/Fe3O4 dual‐magnetic composites and topology optimization, the 11‐mm‐thick absorber delivers continuous 2–40 GHz attenuation, raises finite‐band structural utilization to 82%, and
Shaokang Liu, Weicheng Liao, Pinchen Luo, Mengchen Jin, Tangming Yan, Xing Zhao, Qingshan Wang   +6 more
wiley   +1 more source

ML-BUSMetab: Machine Learning-Based Metabolomic Profiling for Predicting Aspirin Response in Colorectal Cancer Chemoprevention: A Multi-Model Explainable Artificial Intelligence Approach with External Validation. [PDF]

J Clin Med
Pınar A, Arslan AK, Çolak C.
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source