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.
Machine learning and supercomputer simulations help researchers to predict interactions between gold nanoparticles and blood proteins." ScienceDaily. ScienceDaily, 18 November 2024. <www.sciencedaily.comUniversity of Jyväskylä - Jyväskylän yliopisto. . Machine learning and supercomputer simulations help researchers to predict interactions between gold nanoparticles and blood proteins.University of Jyväskylä - Jyväskylän yliopisto.
New studies support the idea that the brain uses a process similar to a machine-learning approach known as 'self-supervised learning.' This type of machine learning allows computational models to ... Researchers introduce a novel imaging method to detect gold nanoparticles in woodlice. Their method, known as four-wave mixing microscopy, flashes light that the gold nanoparticles absorb. The light ...
Innovators are using machine learning models to create new options for drug discovery pipelines. Innovators have introduced chemical reactivity flowcharts to help chemists interpret reaction outcomes ... Researchers in the cancer nanomedicine community debate whether use of tiny structures, called nanoparticles, can best deliver drug therapy to tumors passively -- allowing the nanoparticles to ...Invisible Touch: AI Can Feel and Measure Surfaces
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