Results 81 to 90 of about 10,693 (203)

HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning

open access: yesAdvanced Science, EarlyView.
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li   +8 more
wiley   +1 more source

Recent Advances in Decoupling Strategies for Soft Sensors

open access: yesAdvanced Science, EarlyView.
This review provides an overview of recent advances in decoupling strategies for soft sensors. It summarizes single‐modal sensors that are insensitive to stretching, bending, crosstalk, and other environmental interferences, and highlights emerging multimodal decoupling methods enabled by spatiotemporal information and machine learning.
Yangbo Yuan   +4 more
wiley   +1 more source

Principles for Rigorous Design and Application of Synthetic Microbial Communities

open access: yesAdvanced Science, EarlyView.
SynComs are artificially designed to enable inter‐species metabolic interactions, metabolic division of labor, and ecological interactions that can elicit phenotypes like colonization stability and environmental adaptation. This systematic review explores the processes used to construct SynComs, the assessment of the mechanisms of metabolic interaction
Yuxiao Zhang   +21 more
wiley   +1 more source

Modulating Integrin and Growth Factor Signaling With Peptides: Strategies to Synergistically Enhance Bone Tissue Regeneration

open access: yesAdvanced Science, EarlyView.
It has been demonstrated that, in the bone extracellular matrix (ECM), integrins and growth factor receptors (GFRs) engage in synergistic signaling to guide bone healing and regeneration. This review provides a comprehensive overview of current strategies using ECM‐derived peptides to recreate the cellular microenvironment and harness synergistic ...
Lluís Oliver‐Cervelló   +2 more
wiley   +1 more source

PFOS Disrupts Oocyte Maturation and Early Embryonic Development via Ovarian FOXK1 O‐GlcNAcylation in Mice

open access: yesAdvanced Science, EarlyView.
Perfluorooctane sulfonate (PFOS) exposure disrupts oocyte maturation and early embryonic development. This study elucidates the mechanism by which enhanced O‐GlcNAcylation of FOXK1 underlies the PFOS‐induced reduction of progesterone levels in granulosa cells and the disturbance of follicular microenvironment.
Shuwen Han   +16 more
wiley   +1 more source

OCIAD2 Stabilizes Integrin β1 Signaling Through SNX17‐Mediated Endosomal Recycling to Lipid Rafts and Modulates Cisplatin Response in HNSCC

open access: yesAdvanced Science, EarlyView.
This study identifies OCIAD2 as a critical regulator of cisplatin resistance in HNSCC. Mechanistically, OCIAD2 stabilizes integrin β1 through a direct physical interaction and facilitates its SNX17‐dependent endosomal recycling to lipid raft microdomains. Targeting OCIAD2 disrupts integrin β1 trafficking and significantly enhances cisplatin sensitivity,
Li Cui   +9 more
wiley   +1 more source

OBUSight: Clinically Aligned Generative AI for Ophthalmic Ultrasound Interpretation and Diagnosis

open access: yesAdvanced Science, EarlyView.
OBUSight, a clinically aligned generative AI model that jointly generates reports and predicts diseases through multimodal semantic alignment, was trained and validated on a large multicenter dataset. OBUSight outperformed eight state‐of‐the‐art models, provided clinically reliable reports, enhanced diagnostic efficiency, and achieved performance ...
Xiaocong Liu   +17 more
wiley   +1 more source

A Deep Representation Learning Method for Quantitative Immune Defense Function Evaluation and Its Clinical Applications

open access: yesAdvanced Science, EarlyView.
ImmuDef, a novel algorithm to quantitatively evaluate the anti‐infection immune defense function of an individual based on RNA‐seq data via a variational autoencoder (VAE) model. It is validated on 3200+ samples across four immune states with high accuracy. It can serve as a metric for disease severity and prognosis across pathogenic cohorts.
Zhen‐Lin Tan   +7 more
wiley   +1 more source

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

open access: yesAdvanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu   +6 more
wiley   +1 more source

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