Circular ribonucleic acids (circRNAs) are widely expressed in cells and tissues and play vital
roles in cellular physiological processes. Their expressions are associated with …

Background There is an increasing interest in the use of Deep Learning (DL) based
methods as a supporting analytical framework in oncology. However, most direct …

In recent years, scientific data on cancer has expanded, providing potential for a better
understanding of malignancies and improved tailored care. Advances in Artificial …

Cardiovascular diseases (CVD) persist as a formidable global health challenge,
underscoring the imperative for advanced early detection mechanisms. The evolution of …

The process of identification and management of neurological disorder conditions faces
challenges, prompting the investigation of novel methods in order to improve diagnostic …

Massive multi-omics data are being used to research cancer pathogenesis at the molecular
level as high-throughput sequencing technology advances. Many present approaches …

Diabetes is the most viral and chronic disease throughout the world. A large number of
people are affected by this chronic disease. Early detection of diabetes in a patient is crucial …

Integrative analysis has emerged as a prominent tool in biomedical research, offering a
solution to the “small nn and large pp” challenge. Leveraging the powerful capabilities of …

Protein-metal ion interactions play a central role in the onset of numerous diseases. When
amino acid changes lead to missense mutations in metal-binding sites, the disrupted …

Huntington Disease (HD) is a type of neurodegenerative disorder which causes problems
like psychiatric disturbances, movement problem, weight loss and problem in sleep. It needs …