Results 181 to 190 of about 361,461 (265)
Potential Bioactive Function of Microbial Metabolites as Inhibitors of Tyrosinase: A Systematic Review. [PDF]
Barcenas-Giraldo S +5 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
Inhibition of acalabrutinib metabolism by finerenone and its molecular docking studies. [PDF]
Wang P +6 more
europepmc +1 more source
A microphysiological lung fibrosis model recapitulates myofibroblast–vascular interactions. Induced myofibroblasts and patient‐derived IPF fibroblasts impair angiogenesis and increase vascular permeability via TGF‐β1–driven signaling. Pharmacological interventions with SB 431542 and VEGF supplementation restore vascular morphology and barrier function.
Elena Cambria +7 more
wiley +1 more source
Challenging the paradigm of metabolic exclusivity: coexistence of methanogenesis and sulfate reduction in oil reservoirs. [PDF]
Wang S, Su Y.
europepmc +1 more source
Emergent Spin‐Glass Behavior in an Iron(II)‐Based Metal–Organic Framework Glass
A one‐pot, solvent‐free synthesis yields an Fe2+‐based metal‐organic framework (MOF) glass featuring a continuous random network structure. The material exhibits spin‐glass freezing at 14 K, driven by topological‐disorder and short‐range magnetic frustration, showcasing the potential of MOF glasses as a plattform for cooperative magnetic phenomena in ...
Chinmoy Das +8 more
wiley +1 more source
Triangular Fibrocartilage Complex Injuries in Racquet Sport Players: Prevalence, Management, and Outcomes. [PDF]
Astavans A, Beeram IR, LaPorte DM.
europepmc +1 more source

