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
Fatty acid metabolism: opportunities and challenges of traditional Chinese medicine in the treatment of renal fibrosis. [PDF]
Gao RR, Han C, Li W.
europepmc +1 more source
Ice Lithography: Recent Progress Opens a New Frontier of Opportunities
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang +9 more
wiley +1 more source
Polystyrene nanoplastics as PFAS carriers and their interactions with zwitterionic phospholipid membranes. [PDF]
Fang J +6 more
europepmc +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
Subcutaneous and visceral adipose tissue lipidome in children reveals novel lipid species involved in obesity. [PDF]
Soria-Gondek A +14 more
europepmc +1 more source
Tailoring the Properties of Functional Materials With N‐Oxides
The properties of materials bearing N‐oxide groups are often dominated by the polar N+─O− bond. It provides hydrophilicity, selective ion‐binding, electric conductivity, or antifouling properties. Many of the underlying mechanisms have only recently been discovered, and the interest in N‐oxide materials is rapidly growing.
Timo Friedrich +5 more
wiley +1 more source
Lipidomic Comparison of Detergent-Soluble and Detergent-Resistant Lipid Domains Isolated From Rat Cerebellum and the Effect of Hypoxia-Ischemia Using UPLC-HDMS<sup>E</sup>. [PDF]
Krug SA +4 more
europepmc +1 more source
Peptide Sequencing With Single Acid Resolution Using a Sub‐Nanometer Diameter Pore
To sequence a single molecule of Aβ1−42–sodium dodecyl sulfate (SDS), the aggregate is forced through a sub‐nanopore 0.4 nm in diameter spanning a 4.0 nm thick membrane. The figure is a visual molecular dynamics (VMD) snapshot depicting the translocation of Aβ1−42–SDS through the pore; only the peptide, the SDS, the Na+ (yellow/green) and Cl− (cyan ...
Apurba Paul +8 more
wiley +1 more source
Lipidomic profiling of influenza A virus production in MDCK cells towards targeted clone selection. [PDF]
Menard JA +11 more
europepmc +1 more source

