Results 221 to 230 of about 24,246,868 (339)

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

open access: yesAdvanced 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   +13 more
wiley   +1 more source

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

open access: yesAdvanced 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   +14 more
wiley   +1 more source

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

Biomarkers of systemic disease burden and outcomes after transcatheter tricuspid edge-to-edge repair. [PDF]

open access: yesBMC Cardiovasc Disord
Schlegl J   +9 more
europepmc   +1 more source

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

open access: yesAdvanced 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   +8 more
wiley   +1 more source

A Dual‐Mode In Situ EV‐miRNA Profiling Platform for Machine‐Learning‐Assisted Gastric Cancer Liquid Biopsy

open access: yesAdvanced Science, EarlyView.
An in situ dual‐mode platform integrates fusogenic liposomes with localized autocatalytic DNA circuits for plasma‐derived extracellular vesicle microRNA analysis. Following membrane fusion, target miRNAs trigger feedback‐assisted LECHA amplification inside intact vesicles, generating fluorescence and electrochemical outputs. Machine learning integrates
Wenbin Li   +15 more
wiley   +1 more source

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