A computer algorithm can efficiently find genetic mutations that work together to drive cancer as well as other important genetic clues that researchers might someday use to develop new treatments for ...

This section introduces the research background and significance of digital pathology, the research objectives, and the critical role of multi-threshold optimization in pathological image segmentation ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

Researchers at the Centre for Genomic Regulation (CRG) have discovered hundreds of potential new cancer driver genes. The findings, published in the journal Nature Communications, significantly ...

Metaheuristic algorithms play a vital role in addressing a wide range of real-world problems by overcoming hardware and computational constraints. The Chameleon Swarm Algorithm (CSA) is a modern ...

A graph-based computational tool for detecting previously invisible genetic mutations has been developed. Researchers at the University of California, Los Angeles (UCLA; USA) and the University of ...

An estimated 170,000 Australians were diagnosed with cancer in 2025. Many people know the causes of cancer are partly genetic. But how do your genes, which contribute so much of what makes you you, ...

Genetic disorders can occur due to mutations in one gene (monogenic), multiple genes (multifactorial inheritance), and mutation in one or more chromosomes. Point mutations are where one nucleotide in ...

The prothrombin gene mutation increases your risk of severe blood clots. Medications, regular checkups, and healthy lifestyle habits can help reduce this risk. The prothrombin gene plays a crucial ...