Results 221 to 230 of about 283,560 (267)
This study, through multi‐omics approaches and animal models, revealed that air pollutant PM10 exacerbates the progression of rheumatoid arthritis (RA) by suppressing FNBP1 expression and impairing the cytotoxic function of CD56dim NK cells. The “PM10–FNBP1–NK cells” axis provided novel insights into the environmental pathogenesis of RA and suggested ...
Runhan Zhao +11 more
wiley +1 more source
Construction of a severity prediction model for hospitalized patients with acute exacerbation of chronic obstructive pulmonary disease based on machine learning. [PDF]
Liu Z +8 more
europepmc +1 more source
Intelligent Stain‐Free Histology on Structural Colorimetric Nanocavities
Chen and Gan et al. introduce a label‐free imaging platform using inexpensive Nanocavity‐on‐Silicon (NOS) slides. These slides transform subtle tissue variations into vivid structural colors, enabling high‐contrast histological imaging under a regular optical microscope. This stain‐free approach reveals morphological details comparable to traditional H&
Qizhe Chen +18 more
wiley +1 more source
Turbulent-like Dynamics Predict Treatment Outcome in Major Depressive Disorder
Ruhe H +7 more
europepmc +1 more source
HDA-YOLO: a hierarchical and densely-fused attention network for rice pest detection in complex agricultural environments. [PDF]
Yuan S, Duan Y, Su H, Zhou X, Hao Y.
europepmc +1 more source
The Role of Ionic Liquids at the Biological Interfaces in Bioelectronics
Ionic liquids (ILs) are highlighted as key artificial ionic materials that bridge biological ion‐based signaling and electronic devices. By understanding their composition, structure, function relationships, and mechanisms, ILs can advance from high performance electrolyte to core materials enabling integrated, multifunctional bioelectronics for ...
Yeong‐sinn Ye +5 more
wiley +1 more source
TrWRKY41: A WRKY Transcription Factor from White Clover Improves Cold Tolerance in Transgenic Arabidopsis. [PDF]
Guo M +6 more
europepmc +1 more source
IGF‐1 deficiency underlies poor ovarian response (POR), as reduced levels in follicular fluid and granulosa cells impair antral follicle formation and compromise reproductive outcomes. Including IGF‐1 as a biomarker significantly enhances the accuracy of models predicting both PORrisk and pregnancy success.
Zhu Hu +9 more
wiley +1 more source

