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
Disentangling the effects of corticotrophin releasing factor and GABA release from the bed nucleus of the stria terminalis on ethanol self-administration in mice. [PDF]
Gianessi CA +10 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
Fixed-proportion mixtures with the α2-adrenergic agonist clonidine or lofexidine do not alter fentanyl self-administration in non-opioid-dependent male and female rats. [PDF]
Ortiz A, St Onge CM, Banks ML.
europepmc +1 more source
Protocol for recording neuronal activity in food and cocaine self-administration in freely behaving mice using calcium imaging. [PDF]
Wang J +5 more
europepmc +1 more source
Escalated oxycodone self-administration is associated with expression of voltage gated and calcium activated potassium channels in the mesocorticolimbic system in rats. [PDF]
Wabreha AY +4 more
europepmc +1 more source
Subjective drug-effect ratings predict cannabis self-administration in people who use cannabis daily. [PDF]
Shellenberg TP +9 more
europepmc +1 more source
A Progesterone Microneedle Patch for Self-Administration in the Prevention of Preterm Birth in a Mouse Model. [PDF]
Yu H +5 more
europepmc +1 more source

