Results 191 to 200 of about 130,528 (293)
The trends and hotspots of gut microbiota for breast cancer from 2005 to 2024: A bibliometric and visual analysis. [PDF]
Liang H, Sun X, Shi G, Chen H, Li J.
europepmc +1 more source
Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu +4 more
wiley +1 more source
Knowledge mapping of macrophage in AKI: A bibliometric analysis. [PDF]
Gao J +5 more
europepmc +1 more source
Antibody–drug conjugates (ADCs) transform breast cancer therapy, yet resistance limits their durability. Emerging evidence reveals that ADC failure is not solely tumor‐intrinsic but shaped by dynamic tumor–microenvironment interactions that alter drug delivery, processing, and response.
Minji Seo, Jangsoon Lee, Naoto T. Ueno
wiley +1 more source
Research on machine learning-based clinical prediction models: a bibliometric analysis. [PDF]
Li Q +5 more
europepmc +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Oral health-related quality of life in systemic disease patients: A bibliometric analysis and visualization from 2001 to 2024. [PDF]
Jiang L +5 more
europepmc +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

