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
Non-Destructive Geographical Traceability and Quality Control of <i>Glycyrrhiza uralensis</i> Using Near-Infrared Spectroscopy Combined with Support Vector Machine Model. [PDF]
Liu A +10 more
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
Geographic and breed-specific traceability of cashmere <i>via</i> mineral element profiling in Inner Mongolia (Ordos, Chifeng, and Alxa League). [PDF]
Chunhua Z +10 more
europepmc +1 more source
Amorphous calcium phosphate (ACP) microparticles with long‐term and thermal stability are prepared with or without collagen using a scalable one‐pot spray‐drying process. Under simulated physiological conditions, they crystallize into biomimetic bone mineral and, when combined with collagen, form extrudable, fibrillar bone‐like 3D constructs.
Camila Bussola Tovani +13 more
wiley +1 more source
Artificial intelligence in trauma care: applications, ethical challenges, and pathways toward responsible integration. [PDF]
Bignami EG, Berdini M, Bellini V.
europepmc +1 more source
DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen +3 more
wiley +1 more source
Needs assessment traceability for aquaculture shrimp and workshop in Java Timur, Indonesia, 14-18 June, 2010 Java Timnur Indonesia [PDF]
Lehr, H., Roest, J.G., van der, Yong, A.
core +1 more source

