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
The rise and fall of "<i>Nippon no utsu-byo</i> ニッポンのうつ" (the concept of Nippon depressive disease) in Japan. [PDF]
Ohmae S.
europepmc +1 more source
A spleen‐targeting hybrid nanoplatform (RBCMV‐LNP‐RP) harnessing erythrophagocytosis mimics senescent red blood cell clearance to achieve spleen‐specific delivery of rapamycin. This biomimetic system enables selective accumulation in splenic macrophages, orchestrating systemic immune reprogramming and promoting mucosal healing in an inflammatory bowel ...
Jun Kwon +10 more
wiley +1 more source
Manchester stands united: Place-based identity facilitates resilience in the aftermath of a mass emergency. [PDF]
Hart H, Stevenson C, Kellezi B.
europepmc +1 more source
Spectral interlocutions and the politics of unfinished: Buddhism, haunting, and memory in Karunatilaka's <i>The Seven Moons of Maali Almeida</i>. [PDF]
Humphry NM, I A.
europepmc +1 more source
A neural language for the cerebellum: control of behavior via competing populations of Purkinje cells. [PDF]
Shadmehr R, Fakharian MA.
europepmc +1 more source
Self-Perception of Children and Adolescents' Refugees with Trauma: A Qualitative Meta-Synthesis of the Literature. [PDF]
Kulari G, Figueiredo S.
europepmc +1 more source
<i>The Ladder</i> by Eugenia Kuznetsova: A queer reading of a wartime Ukrainian novel. [PDF]
Seleznova E.
europepmc +1 more source

