Results 181 to 190 of about 7,841,807 (278)

An Integrated Artificial Intelligence Framework for Nanomedicine Engineering

open access: yesAdvanced Science, EarlyView.
This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong   +10 more
wiley   +1 more source

CausalCellInfer: Prioritizing Cell‐Type‐Specific Disease Associations From Genetically Predicted Transcriptomes in Biobank Cohorts

open access: yesAdvanced Science, EarlyView.
Bulk and genotype‐imputed transcriptomes obscure the cellular drivers of complex disease. CausalCellInfer resolves them by integrating invariant marker selection, deep learning deconvolution, and regularized matrix completion. Applied to ∼500 000 UK Biobank participants across 29 traits, it uncovers hallmark cell‐type proportion shifts, including ...
Liangying Yin   +6 more
wiley   +1 more source

Toward Rational Design of Aqueous Battery Membranes Beyond the Selectivity‐Conductivity Trade‐Off

open access: yesAdvanced Science, EarlyView.
This review examines sulfonated membranes for redox flow batteries. It focuses on proton transport mechanism, membrane design, performance limits, optimization strategies, and the pathway from molecular design to membrane manufacturing. ABSTRACT Electrochemical energy‐storage systems increasingly require membranes that can simultaneously deliver fast ...
Jinkang Liu   +13 more
wiley   +1 more source

Spatiotemporal Computational Meta‐Imager for Broadband Dual‐Layer Optical Convolution

open access: yesAdvanced Science, EarlyView.
A single‐layer polarization‐multiplexed meta‐imager achieves factorized dual‐layer broadband convolution via spatiotemporal kernel decomposition. Fixed Bessel‐vortex bases and time‐sequential liquid‐crystal modulation deliver tunable signed weights and in‐situ fabrication‐error compensation. Experiments verify improved classification performance across
Mengguang Wang   +6 more
wiley   +1 more source

SpaCut: Transcript‐Aware Morphology Fusion for Robust Cell Segmentation in Subcellular Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
Subcellular spatial transcriptomics enables high‐resolution mapping of gene expression within tissues, but accurate cell segmentation is essential for assigning transcripts to individual cells. We present SpaCut, a deep learning framework that integrates transcriptomic features with nucleus‐guided morphological information to precisely delineate cell ...
Yongheng Li, Fangfang Zhu, Wenwen Min
wiley   +1 more source

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