About
Research focuses on developing ML/DL precision-medicine models. Although ML/DL approaches such as Support Vector Machine (SVM), Random Forest (RF), as well as DL approaches—e.g. Convolutional Neural Network (CNN)—have been successfully applied in cancer diagnosis and subtype classification, current methods may not be adequate to integrate genotypic data, multi-omics drug data and real-world evidence into a unified framework for precision medicine.
Research focus
Mathematical & Computational Modelling
Research focuses on developing ML/DL precision-medicine models. Although ML/DL approaches such as Support Vector Machine (SVM), Random Forest (RF), as well as DL approaches—e.g. Convolutional Neural Network (CNN)—have been successfully applied in cancer diagnosis and subtype classification, current methods may not be adequate to integrate genotypic data, multi-omics drug data and real-world evidence into a unified framework for precision medicine.