Francisco Carlos Specian Junior, Damien Litchfield, John Sandars, Dario Cecilio-Fernandes
Use of eye tracking in medical education
Medical teacher
neurodegenerative diseases characterized slowly progressing neuronal cell death conventional drug treatment strategies often fail poor solubility low bioavailability inability drugs effectively cross bloodbrain barrier therefore development new neurodegenerative disease drugs ndds requires immediate attention nanoparticle np systems increasing interest transporting ndds central nervous system however discovering effective nanoparticle neuronal disease drug delivery systems n2d3ss challenging vast number combinations np ndd compounds well various assays involved artificial intelligencemachine learning aiml algorithms potential accelerate process predicting promising ndd np candidates assaying nevertheless relatively limited amount reported data n2d3s activity compared assayed ndds makes aiml analysis challenging work ifptml technique combines information fusion perturbation theory pt machine learning ml employed address challenge initially conducted fusion unified dataset comprising 4403 ndd assays chembl 260 np cytotoxicity assays journal articles resampling process three new working datasets generated containing 500000 cases utilized linear discriminant analysis lda along artificial neural network ann algorithms multilayer perceptron mlp deep learning networks dln construct linear nonlinear ifptml models ifptmllda models exhibited sensitivity sn specificity sp values range 70 73 375000 training cases 70 80 125000 validation cases respectively contrast ifptmlmlp ifptmldln achieved sn sp values range 85 86 training validation series additionally ifptmlann models showed area receiver operating curve auroc approximately 093 095 results indicate ifptml models could serve valuable tools design drug delivery systems neurosciences