Computational Image Processing and Deep Learning with Multi-Model Biomedical Image Data

Disease Risk annotation of Genomic and Epigenomic Variants using Machine Learning Approaches

Computational discovery of interpretable histopathologic prognostic biomarkers in invasive carcinomas of the breast

Machine Learning Methods for Biomedical Keyphrase Extraction

Federated Tensor Factorization for Collaborative Health Data Analytics

Predicting Time-to-Event and Clinical Outcomes from High-Dimensional Unstructured Data

Generalizable Machine Learning Methods for Electrophysiology

Deep Learning Approaches Towards Computerized Drug Discovery

Neural Networks for Cancer Survival Analysis Using High-Dimensional Data

Statistical and informatics methods for analyzing next generation sequencing data

Application of the DIKW Model in Malaria Systems Biology: From NGS Data to Disease Progression Insight

Statistical and Machine Learning Methods in the Studies of Epigenetics Regulation