Background and objectives: By extracting this information, Machine or Deep Learning
(ML/DL)-based autonomous data analysis tools can assist clinicians and cancer researchers …

Technological advancement and the adoption of digital technologies in cancer care and
research have generated big data. These diverse and multimodal data contain valuable …

The deregulation of BCL2 family proteins plays a crucial role in leukemia development.
Therefore, pharmacological inhibition of this family of proteins is becoming a prevalent …

Despite incredible progress in cancer treatment, therapy resistance remains the leading
limiting factor for long-term survival. During drug treatment, several genes are …

Leveraging the potential of machine learning and recognizing the broad applications of
binary classification, it becomes essential to develop platforms that are not only powerful but …

The identification of biomarkers is crucial for cancer diagnosis, understanding the underlying
biological mechanisms, and developing targeted therapies. In this study, we propose a …

Gene expression analysis is a critical method for cancer classification, enabling precise
diagnoses through the identification of unique molecular signatures associated with various …

Therapeutic resistance continues to impede overall survival rates for those affected by
cancer. Although driver genes are associated with diverse cancer types, a scarcity of …

H eart attacks, also known as myocardial infarctions, are currently the top cause of death
across all age categories. Through early detection, recent advances in healthcare …

Classifying cancer using gene expression can be an important tool for under standing the
specific characteristics of a patient's cancer and for guiding the most appropriate treatment …