Deep learning is a subdiscipline of artificial intelligence that uses a machine learning
technique called artificial neural networks to extract patterns and make predictions from …

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 …

Machine learning approaches are powerful techniques commonly employed for developing
cancer prediction models using associated gene expression and mutation data. This …

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 …

Rationale and Objectives Accurate identification of axillary lymph node (ALN) status in
breast cancer patients is important for determining treatment options and avoiding axillary …

Breast cancer is a kind of cancer that develops and propagates from tissues of the breast
and slowly transcends the whole body, this type of tumor is found in both sexes. Early …

Medical discoveries mainly depend on the capability to process and analyze biological
datasets, which inundate the scientific community and are still expanding as the cost of next …

Abstracts: Deep learning, a branch of artificial intelligence, excavates massive data sets for
patterns and predictions using a machine learning method known as artificial neural …