Qiankun Mo

MCCX: Combining Monte Carlo, Convolutional Neural Networks and Boosting in Predicting Nanoparticle Viability

Modeling and prediction relying on learning from small experimental data sets is challenging, especially when the data set is insufficient, noisy or involves highly complex relationships. Leveraging Neural Networks (NNs), we developed predictive models capable of addressing such small data sets. We introduce MCCXcom...