Results 121 to 130 of about 507,719 (274)
A Novel 10‐Protein Score for Liver Fat Content Predicts Cardiovascular‐Kidney‐Metabolic Disease Risk
A novel 10‐protein plasma score precisely quantifies liver fat, outperforming the fatty liver index. It robustly predicts the risk of numerous cardiovascular‐kidney‐metabolic diseases and integrates with genetic data for precision prevention, offering a practical alternative to magnetic resonance imaging (MRI). Abstract Liver fat content (LFC) is a key
Xiaoqin Gan +12 more
wiley +1 more source
UniMR, a training‐free framework for automated molecular recognition in STM images. By integrating adaptive feature selection with CLIP embeddings and Gaussian Mixture Modeling, UniMR achieves robust performance across diverse molecular systems and low‐resolution conditions.
Ziqiang Cao +10 more
wiley +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Actress Mae Murray’s famous epithet, “The Girl with the Bee-Stung Lips” describes far more than her cupid-bowed mouth; it evokes something unusual, distracting, and for some of her fans perhaps even overwhelming. Also known as “The Gardenia of the Screen,” Murray’s presence can be considered excessive and baroque, pleasurably perfuming and intensifying
openaire +2 more sources
Spectral Decomposition of Chemical Semantics for Activity Cliffs‐Aware Molecular Property Prediction
PrismNet mimics chemical intuition by functioning as a computational prism, refracting molecular graphs into complementary semantic views and spectral frequencies. This dual‐decomposition strategy effectively captures both global topologies and subtle “activity cliff” perturbations.
Chaoyang Xie +9 more
wiley +1 more source
Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan +17 more
wiley +1 more source
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
An Intelligent Magneto‐Mechanical Platform for Cellular Sensing in 3D Microenvironments
This study presents MagMI, a pioneering machine intelligence‐driven magneto‐mechanical sensing platform. It utilizes magneto‐mechanical arrays and machine learning to achieve label‐free, real‐time monitoring and classification of cellular proliferation dynamics within 3D microenvironments.
Yue Quan +4 more
wiley +1 more source
Achieving Chemical Accuracy in Cyclodextrin Host–Guest Binding via Integrative Atomistic Modelling
A generalizable computational framework is presented that overcomes long‐standing challenges in modelling cyclodextrin host‐guest binding by integrating host‐specific force‐field refinement, equilibrium enhanced sampling, nonequilibrium alchemical switching, convolution sampling of independent works, rigorous finite‐size corrections, and QM‐based ...
Xiaohui Wang +7 more
wiley +1 more source

