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 ...

Health monitoring and fault diagnosis of rolling bearings are crucial for the continuous and effective operation of mechanical equipment. In order to improve the accuracy of BP neural network in fault ...

A computational model built by researchers at the Institute of Research in Biomedicine (IRB Barcelona) and the Centre for Genomic Regulation (CRG) can predict which drugs will be most effective in ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

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 ...

Genes make us who we are—but are they shaped by chance, natural selection, or something else?

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 ...