Results 241 to 250 of about 15,540 (291)

Aptamer‐Targeted PrPC Drives Colorectal Cancer Metastasis via a LYN‐STAT3 Complex and Enables Liquid Biopsy Detection

open access: yesAdvanced Science, EarlyView.
The aptamer WHY‐3E identifies PrPC as a CRC driver. Stabilized by USP18, endocytosed PrPC forms a LYN/STAT3 complex, upregulating MSN transcription to promote metastasis. Crucially, WHY‐3E sensitively detects PrPC‐positive circulating exosomes, establishing a robust theoretical foundation for non‐invasive clinical diagnostics.
Chunlin Wang   +23 more
wiley   +1 more source

Bandgap‐Engineered PtxTey:Ag2Te Composite Quantum Dots Enable Programmable NIR‐II Imaging and Photothermal‐Immune Synergistic Therapy

open access: yesAdvanced Science, EarlyView.
A bandgap‐engineered PtxTey:Ag2Te quantum dot platform enables tunable NIR‐IIb emission for deep‐tissue imaging and mild photothermal therapy. Conjugation with αPD‐L1 confers dual tumor targeting and real‐time monitoring of PD‐L1 dynamics. Mild photothermal modulation induces immune reprogramming, enhancing checkpoint blockade efficacy and achieving ...
Jing Liu   +9 more
wiley   +1 more source

Beyond Percolation: Graphene‐Enabled Network Reinforcement Enhances Thermal Transport in Paraffin Phase‐Change Composites

open access: yesAdvanced Science, EarlyView.
Expanded‐graphite/graphene‐nanoplatelet hybrids deliver a near‐order‐of‐magnitude thermal‐conductivity enhancement in paraffin phase‐change materials. A microCT‐informed 3D modeling framework resolves the percolating EG backbone and captures sub‐voxel GNP enrichment, quantitatively linking microstructure to heat flow and revealing a graphene‐enabled ...
Thomas Hoke   +4 more
wiley   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

open access: yesAdvanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Provisioning of Fog Computing over Named-Data Networking in Dynamic Wireless Mesh Systems. [PDF]

open access: yesSensors (Basel)
Glazkov R   +9 more
europepmc   +1 more source

Epitope‐Resolved Digital SERS Profiling of Structurally Dynamic Antigens via a Multi‐Epitope Bispecific Antibody Framework

open access: yesAdvanced Science, EarlyView.
A multi‐epitope digital surface‐enhanced Raman spectroscopy framework enables epitope‐resolved immunoprofiling by integrating bispecific antibody fragments with spectrally encoded nanotags. This approach decouples binding events into independent digital channels, allowing structure‐aware antigen analysis.
Jing Wang   +4 more
wiley   +1 more source

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

open access: yesAdvanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang   +10 more
wiley   +1 more source

FedHealthFog: A federated learning-enabled approach towards healthcare analytics over fog computing platform. [PDF]

open access: yesHeliyon
Tripathy SS   +6 more
europepmc   +1 more source

Artificial Intelligence‐Based Body Composition Analysis Reveals Sex‐Specific Prognostic Markers and Their Clinical Value in Gastric Cancer: A Multicenter Study

open access: yesAdvanced Science, EarlyView.
This study applied AI to quantify multidimensional body composition from CT images in gastric cancer and healthy controls. Distinct sex‐specific patterns and disease‐related alterations were identified and were associated with survival. Higher muscle and fat measures were linked to improved outcomes.
Tianxiang Li   +13 more
wiley   +1 more source

Imaging‐Guided Live Single‐Cell Lipid Profiling of Leader and Follower Cellsduring Collective Migration of Triple‐Negative Breast Cancer Cells

open access: yesAdvanced Science, EarlyView.
Integrated single‐cell mass spectrometry reveals distinct lipidomic signatures that differentiate leader and follower phenotypes in migratory breast cancer cells. Phenotype‐specific alterations across various lipid classes, including fatty acids and phosphatidylcholines, underpin functional heterogeneity.
Xiaoyue Huang   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy