Results 211 to 220 of about 139,075 (261)

Photocatalytically Activated Cu‐N1S3 Single‐Atom Nanozyme: Enhancing Enzyme Activities and Antibacterial Synergy for Highly Efficient Fruit Preservation

open access: yesAdvanced Science, EarlyView.
This study presents S‐coordinated Cu single‐atom nanozymes (Cu/CNS) fabricated via mild photocatalytic self‐assembly strategy. The nanozyme exhibits exceptional multi‐enzyme activity and near‐perfect antimicrobial efficacy. Incorporated into chitosan‐gelatin film, it enables pH‐responsive, broad‐spectrum fruit preservation, more than doubling the shelf‐
Chuanlong Men   +7 more
wiley   +1 more source

Pathomics Signature for Prognosis and CA19‐9 Interception in Pancreatic Ductal Adenocarcinoma: A Real‐Life, Multi‐Center Study

open access: yesAdvanced Science, EarlyView.
This study develops a deep learning‐based pathomics model to predict survival outcomes in pancreatic cancer patients. The CrossFormer architecture analyzes routine H&E‐stained tissue slides, identifying key prognostic features including stromal patterns, cellular characteristics, and immune infiltration.
Qiangda Chen   +22 more
wiley   +1 more source

GALNT10 Affects O‐Glycosylation of IGFBP7 to Promote Tumor Vascular Remodeling and Metastasis of Ovarian Cancer

open access: yesAdvanced Science, EarlyView.
The glycosyltransferase GALNT10 facilitates ovarian cancer metastasis through the induction of tumor cell EMT and tumor vascular dysfunction. GALNT10 enhanced the extracellular secretion of IGFBP7 through O‐GalNAc glycosylation modification at the T188 site, which subsequently interacts with CD93 on endothelial cells, leading to vascular remodeling ...
Yanan Zhang   +9 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

Accurate Identification of Protein Binding Sites for All Drug Modalities Using ALLSites

open access: yesAdvanced Science, EarlyView.
ALLSites is a unified sequence‐based framework for identifying proteome‐wide binding sites across all drug modalities. It integrates a gated convolutional network with a transformer architecture to capture residue interactions directly from the sequence.
Minjie Mou   +14 more
wiley   +1 more source

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