Results 211 to 220 of about 41,474 (267)
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
Siamese-based metric joint learning for intent detection and slot filling using triplet loss optimization. [PDF]
Muhammad YI +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
Upright and supine particle therapy of lung cancer: A 4D dosimetric comparison. [PDF]
Martire MC +4 more
europepmc +1 more source
JKO schemes with general transport costs. [PDF]
Rankin C, Wong TL.
europepmc +1 more source
Tethered UAV Autonomous Knotting on Environmental Structures for Transport. [PDF]
Jin R, Xu X, Yang Y, Li J, Cao M, Xie L.
europepmc +1 more source
Integral Betti signatures of brain, climate and financial networks compared to hyperbolic, Euclidean and spherical models. [PDF]
Caputi L, Pidnebesna A, Hlinka J.
europepmc +1 more source
Classification of LRS Bianchi-I spacetime in context of f(T) gravity via its self-similar symmetry. [PDF]
Sidaoui R +5 more
europepmc +1 more source

