Biomedical data are becoming increasingly multimodal and thereby capture the underlying
complex relationships among biological processes. Deep learning (DL)-based data fusion …

Integrating single-cell multi-omics data is a challenging task that has led to new insights into
complex cellular systems. Various computational methods have been proposed to effectively …

Motivation Use of multi-omics data carrying comprehensive signals about the disease is
strongly desirable for understanding and predicting disease progression, cancer particularly …

This survey explores the transformative impact of foundation models (FMs) in artificial
intelligence, focusing on their integration with federated learning (FL) in biomedical …

Background Cancer is one of the leading death causes around the world. Accurate
prediction of its survival time is significant, which can help clinicians make appropriate …