Machine learning application to biomedicine research at the VNU Key Laboratory for Multiscale Simulation of Complex Systems

Abstract

In this talk, several applications of machine learning methods (computer vision, graph neural networks, and variable autoencoders) to various problems in computational biomedicine is presented. In the context of drug design, protein interactions, biophysical simulations. These methods offer complementary and sometime advantageous analyses to existing bioinformatic and biophysical approaches. Specific examples are research work on COVID-19, Gout disease, morphine-based analgesic compounds being done at the VNU Key Laboratory for Multiscale Simulation of Complex Systems, VNU University of Science, Hanoi, Vietnam.