Integrating Spatial Proteogenomics in Cancer Research
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
Multidimensional analysis suggests that ZNF433 is a promising biomarker for the diagnosis and prognosis of human cancers. [PDF]
Xie L +9 more
europepmc +1 more source
Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence
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
Multidimensional analysis reveals the potential of ACSL3 as a cancer biomarker: from pan-cancer exploration to functional validation in hepatocellular carcinoma. [PDF]
Niu Q +8 more
europepmc +1 more source
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
Global burden of cancer attributable to high BMI (1990-2031): a multidimensional analysis based on GBD and Mendelian randomization. [PDF]
Zhu X +7 more
europepmc +1 more source
Sparsified Multidimensional Scaling and Sparsified Multidimensional Distance Analysis
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
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
Multidimensional analysis of hsa-miR-140-3p and CKS1B correlation via the MAPK/ERK pathway in lung adenocarcinoma progression. [PDF]
Luo K +9 more
europepmc +1 more source
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

