Results 161 to 170 of about 1,295,192 (344)

Rapid Arbitrary‐Shape Microscopy of Unsectioned Tissues for Precise Intraoperative Tumor Margin Assessment

open access: yesAdvanced Science, EarlyView.
This study presents a novel microscopic imaging system capable of rapid, section‐free scanning of irregular tissue surfaces, delivering high sensitivity for detecting cancer cell clusters during intraoperative tumor margin assessment. Abstract Rapid and accurate intraoperative examination of tumor margins is crucial for precise surgical treatment, yet ...
Zhicheng Shao   +17 more
wiley   +1 more source

Determination of Steady State Stability Margin Using Extreme Learning Machine

open access: yes, 2012
Power systems have increased in size and complexity due to rapid growth of widespread interconnection. This situation will make power system operated closer to steady-state stability limit (SSSL) resulting in higher probability voltage instability or voltage collapse.
openaire   +1 more source

Spatial Profiling Reveals Distinct Molecular and Immune Evolution of Mouse Lung Adenocarcinoma Precancers with or Without Carcinogen Exposure

open access: yesAdvanced Science, EarlyView.
Tumor evolution in lung adenocarcinoma is shaped by genetic alterations and spatial immune dynamics. By integrating whole‐exome sequencing, imaging mass cytometry, and spatial transcriptomics across two mouse models, this study reveals how mutational burden, immune infiltration, and cell–state interactions evolve during early and late carcinogenesis ...
Bo Zhu   +34 more
wiley   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

open access: yesAdvanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi   +5 more
wiley   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

open access: yesAdvanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen   +7 more
wiley   +1 more source

IL4I1⁺ Macrophages and TDO2⁺ Myofibroblasts Drive AhR‐Mediated Immunosuppression and Ferroptosis Resistance in Solid Predominant Lung Adenocarcinoma

open access: yesAdvanced Science, EarlyView.
Solid predominant lung adenocarcinoma exhibits an immune‐excluded, ferroptosis‐resistant niche enriched with IL4I1⁺ TAMs and TDO2⁺ myCAFs. Spatial and multi‐omics analyses reveal AhR‐driven crosstalk that promotes T cell exhaustion and therapy resistance. Blocking AhR with CH‐223191 restores ferroptosis sensitivity, and its combination with ferroptosis
Zhaoxuan Wang   +16 more
wiley   +1 more source

A Quantum Framework for Protein Binding‐Site Structure Prediction on Utility‐Level Quantum Processors

open access: yesAdvanced Science, EarlyView.
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang   +10 more
wiley   +1 more source

Active Force Dynamics in Red Blood Cells Under Non‐Invasive Optical Tweezers

open access: yesAdvanced Science, EarlyView.
A non‐invasive method combines low‐power optical tweezers with high‐speed microscopy to simultaneously monitor local membrane forces and displacements in single human red blood cells. This dual‐channel approach reveals a mechano‐dynamic signature that correlates the cell's metabolic state with its mechanical activity. This energetic framework serves as
Arnau Dorn   +5 more
wiley   +1 more source

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