Results 171 to 180 of about 1,073,582 (234)

Integrating Spatial Proteogenomics in Cancer Research

open access: yesAdvanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang   +13 more
wiley   +1 more source

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu   +5 more
wiley   +1 more source

Metarhizium anisopliaeMitigates the Phytotoxicity of Lead and Nanoplastics on Rice by Modifying Physiological, Transcriptomic, Metabolomic Activities, and Soil Microbiome

open access: yesAdvanced Science, EarlyView.
Metarhizium anisopliae alleviates the phytotoxic effects of polyethylene nanoplastics (NP) and lead (Pb) in rice by decreasing Pb uptake, restoring antioxidant and hormonal equilibrium, and promoting growth. Additionally, the fungus modifies the rhizosphere microbiota, enhancing both contaminant tolerance and plant growth, thereby effectively ...
Jing Peng   +7 more
wiley   +1 more source

Sparsified Multidimensional Scaling and Sparsified Multidimensional Distance Analysis

open access: yes
In this article we introduce new multidimensional scaling variants: sparsified multidimensional scaling (SMDS), sparsified power multidimensional scaling (SPMDS), sparsified multidimensional distance analysis (SMDDA), sparsified power multidimensional distance analysis (SPMDDA).
openaire   +1 more source

High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning

open access: yesAdvanced Science, EarlyView.
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang   +6 more
wiley   +1 more source

Dendritic Nano‐Based Slippery Coating by Synergistic Mechanical and Electrostatic Interactions with Persistent and Exceptional Combats Thrombosis

open access: yesAdvanced Science, EarlyView.
A novel dendritic nano‐based slippery coating (DNSC), fabricated by encapsulating carboxyl silicone oil within amino dendritic silica nanoparticles and co‐embedding them in an epoxy resin matrix. The dendritic architecture enhances nanoparticle dispersion in the matrix and establishes mechanical interlock.
Shu Zhang   +12 more
wiley   +1 more source

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