With the development of modern high-throughput omic measurement platforms, it has
become essential for biomedical studies to undertake an integrative (combined) approach to …

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

High-throughput next-generation sequencing now makes it possible to generate a vast
amount of multi-omics data for various applications. These data have revolutionized …

Background A fused method using a combination of multi-omics data enables a
comprehensive study of complex biological processes and highlights the interrelationship of …

Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …

Cancer is defined as a large group of diseases that is associated with abnormal cell growth,
uncontrollable cell division, and may tend to im**e on other tissues of the body by different …

Multi-omics approaches have developed as a profitable technique for plant systems, a
popular method in medical and biological sciences underlining the necessity to outline new …

Lung cancer remains a global health concern, demanding the development of noninvasive,
prompt, selective, and point-of-care diagnostic tools. Correspondingly, breath analysis using …

Introduction: Precision medicine is the concept of treating diseases based on environmental
factors, lifestyles, and molecular profiles of patients. This approach has been found to …

The primary objective of this study is to review and assess the best available research on
omics-related artificial intelligence (AI) methods. Furthermore, it seeks to demonstrate the …