Results 221 to 230 of about 1,026,679 (318)
FeDSNP‐Pa, a metallized nanoparticle loaded with sodium pyruvate (Pa), exerts triple therapeutic effects by scavenging reactive oxygen species (ROS), suppressing inflammatory responses, and inhibiting pyroptosis signaling pathways. This multifunctional neuroprotective strategy protecting retinal ganglion cells (RGCs) from elevated intraocular pressure ...
Yukun Wu +5 more
wiley +1 more source
Mapping Global Research Trends on Autism Spectrum Disorder: A Bibliometric Analysis of Pharmacology and Pharmacy Studies. [PDF]
Sabadini G +10 more
europepmc +1 more source
Recent synthetic strategies using MCRs for the discovery of pharmacologically active compounds
Kokila Sakthivel, Fateh V. Singh
openalex +1 more source
3D Multicellular Scaffold Based Model for Advancing Bone Disorder Research
A scalable 3D multicellular in vitro bone model engineered by integrating osteoblasts, osteoclasts, and endothelial cells on biodegradable scaffolds. The system recapitulates key features of human bone remodeling and disease pathology. As a proof of concept, the model mimics osteogenesis imperfecta, demonstrating its potential as a physiologically ...
Gali Guterman‐Ram +5 more
wiley +1 more source
Bloodstream infections (BSI) are one of the leading causes of mortality and morbidity in both civilian and military populations. This paper summarizes recent progress in novel treatment strategies to manage BSI arising from both bacterial and fungal pathogens using molecules, particles, and materials to elicit host‐directed immunity.
Thomas Thomou +11 more
wiley +1 more source
RETRACTED: Shoaib et al. Neuroprotective Effects of Dried Tubers of <i>Aconitum napellus</i>. <i>Plants</i> 2020, <i>9</i>, 356. [PDF]
Shoaib A +8 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source

