Results 191 to 200 of about 3,235,945 (351)
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer +10 more
wiley +1 more source
Comparative real-world survival of first-line atezolizumab, nivolumab, and pembrolizumab in older patients with metastatic non-small cell lung cancer. [PDF]
Xue X +5 more
europepmc +1 more source
The study develops elastin–fibrin scaffolds and evaluates angiogenesis using the chorioallantoic membrane (CAM) model. Advanced imaging with confocal microscopy and Indocyanine Green dye enables precise 3D quantification of vascular networks. Findings demonstrate superior microvessel visualization compared to micro‐CT using Microfil and Optiray 350 ...
Ece Melis Er +8 more
wiley +1 more source
Comparative Prognostic Evaluation of the Revised International Federation of Gynecology and Obstetrics 2023 and 2009 Staging Systems in Early Endometrial Cancer. [PDF]
Lee SL, Shin YR, Kim H, Rha SE.
europepmc +1 more source
In this study, a physically enhanced vascular dECM bioink and used 3D‐coaxial bioprinting are developed to fabricate mature brain blood vessels for cerebral atherosclerosis research. This model demonstrates that vascular geometry‐induced hemodynamic changes trigger vascular inflammation, ensuring its potential for cerebrovascular research.
Wonbin Park +7 more
wiley +1 more source
Porous silicon nanoparticles (PSiNPs) reprogram macrophage endocytosis of manganese@albumin‐based TLR4 nanoagonists, driving TRIF‐biased TLR4 signaling, eliciting robust proinflammatory responses, and potentiating macrophage‐mediated immunotherapeutic effects against NSCLC.
Xiaomei Zhang +9 more
wiley +1 more source
Association between childhood adiposity and gynecologic cancers: a mendelian randomization analysis. [PDF]
Zhu M, Zhang Y, Bao X, Zhu H, Jin W.
europepmc +1 more source

