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

Increased availability of high-throughput technologies has generated an ever-growing
number of omics data that seek to portray many different but complementary biological …

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

One of the main problems with the joint use of multiple drugs is that it may cause adverse
drug interactions and side effects that damage the body. Therefore, it is important to predict …

Cancer is one of the major diseases threatening human life and health worldwide.
Epigenetic modification refers to heritable changes in the genetic material without any …

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 …

With the recent advancement of novel biomedical technologies such as high-throughput
sequencing and wearable devices, multi-modal biomedical data ranging from multi-omics …

Background Breast cancer is a highly heterogeneous disease that comprises multiple
biological components. Owing its diversity, patients have different prognostic outcomes; …

The abundance of artificial intelligence AI algorithms and growing computing power has
brought a disruptive revolution to the smart medical industry. Its powerful data abstraction …

Palmatine (PLT) is a natural isoquinoline alkaloid that belongs to the class of
protoberberines and exhibits a wide spectrum of pharmacological and biological properties …