Researchers have used machine learning and supercomputer simulations to investigate how tiny gold nanoparticles bind to blood proteins. The studies discovered that favorable nanoparticle-protein interactions can be predicted from machine learning models that are trained from atom-scale molecular dynamics simulations. The new methodology opens ways to simulate efficacy of gold nanoparticles as targeted drug delivery systems in precision nanomedicine.
Read more …Machine learning and supercomputer simulations help researchers to predict interactions between...
A promising daily tablet is effective at increasing height and improving proportional limb growth in children with achondroplasia, the most common form of dwarfism, according to a new study. And the findings could spare these children from needing to have a daily injection to boost growth.
Read more …Promising daily tablet increases growth in children with dwarfism
Multi-sequence knee magnetic resonance imaging (MRI) is an advanced non-invasive diagnostic method for knee pathology. However, MRI interpretation is highly time-consuming and heavily dependent on expertise. A research team has now introduced a novel deep learning model which can assist with classifying 12 common types of knee abnormalities, enhancing both efficiency and accuracy.
Read more …Diagnosing knee abnormalities like an experienced radiologist: A novel deep learning model