Health Management Service Models for the Elderly with Visual Impairment: A Scoping Review
Yu Dong, Aiping Wang The First Hospital of China Medical University, Shenyang, People’s Republic of ChinaCorrespondence: Aiping Wang, The First Hospital of China Medical University, No.
Dong Y, Wang A
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Harnessing mmWave signals and machine learning for noninvasive taxonomic classification of insects. [PDF]
Antony L +5 more
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An entity‐centric foundation model, GloPath, is introduced for comprehensive glomerular lesion assessment from routine renal biopsy images. Trained on over one million glomeruli, the framework enables robust lesion recognition, grading, and cross modality diag nosis, while uncovering large‐scale clinicopathological associations.
Qiming He +28 more
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Enhancing movie script creation through retrieval-augmented LLMs and stable diffusion scene modeling. [PDF]
Lulla A +4 more
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In summary, our study defines a coordinated oncogenic model in which NUDT21 integrates alternative polyadenylation–dependent UBE2D3 stabilization and transcriptional activation to sustain MYC‐driven T‐ALL cell survival, thereby establishing NUDT21 as a central regulatory node and a promising therapeutic target.
Conglian Qiu +18 more
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PepFoundry: A Pipeline for Building Machine-Learning Ready Representations of Nonstandard Peptides Containing Cycles, Non-natural Residues, Polymer Units, and More. [PDF]
Garzon Otero D +3 more
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Integrating Spatial Proteogenomics in Cancer Research
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang +13 more
wiley +1 more source
Identification of Prognostic Factors in Esophageal Cancer Using Machine Learning: A Retrospective Study Based on the SEER Database. [PDF]
Pocasap P +4 more
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SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao +11 more
wiley +1 more source
Administrative-driven hierarchical management of atrial fibrillation on cardiovascular events: a prospective matched cohort study. [PDF]
Chen M +17 more
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