·         Advanced machine learning methods for molecular biomarker discovery from multi-modal data

·         Explainable deep learning for disease detection and prevention

·         Explainable intelligent systems for cancer screening, diagnosis including subtyping, prognosis, and treatment planning

·         Representation learning of biomarkers

·         Deep learning methods for digital biomarker discovery from medical Images

·         Deep learning for drug discovery, repositioning and repurposing

·         Deep learning for rational vaccine design

·         Deep learning for biomedical image analysis

·         Deep learning models for cellular communications

·         Deep learning models for single-cell transcriptomics