Results 141 to 150 of about 24,244 (244)
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +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
We introduce a nucleic acid nanoparticle (NANP) platform designed to be rrecognized by the human innate immune system in a regulated manner. By changing chemical composition while maintaining constant architectural parameters, we identify key determinants of immunorecognition enabling the rational design of NANPs with tunable immune activation profiles
Martin Panigaj +21 more
wiley +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
A unidirectional cerebral organoid–organoid neural circuit is established using a microfluidic platform, enabling controlled directional propagation of electrical signals, neuroinflammatory cues, and neurodegenerative disease–related proteins between spatially separated organoids.
Kyeong Seob Hwang +9 more
wiley +1 more source
Critical impact of automobile industry with advanced decision support system and Aczél-Alsina Hammy mean operators. [PDF]
Hussain A, Ullah K, Ali Z, Pamucar D.
europepmc +1 more source
The combination of formamidinium thiocyanate and 1,3‐propane diammonium iodide for bulk and top‐surface passivation, and a ternary fullerene blend to improve energy band alignment, suppresses energy losses in wide‐bandgap FAPbBr3 perovskite solar cells.
Laura Bellini +9 more
wiley +1 more source
Research on the optimal selection method for railway line routes in complex and challenging mountainous areas taking into account ecological protection. [PDF]
Han F, Luo Y.
europepmc +1 more source
Chemoselective Sequential Polymerization: An Approach Toward Mixed Plastic Waste Recycling
Inspired by biological protein metabolism, this study demonstrates the closed‐loop recycling of mixed synthetic polymers via ring‐closing depolymerization followed by a chemoselective sequential polymerizations process. The approach recovers pure polymers from mixed feedstocks, even in multilayer formats, highlighting a promising strategy to overcome a
Gadi Slor +5 more
wiley +1 more source
A novel intuitionistic fuzzy Yager aggregation framework for decision making in green supply chains. [PDF]
Kumar Y, Ramalingam S, Zegeye GB.
europepmc +1 more source

