Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

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 ...
Nanowerk

Uniting DNA origami and CRISPR to enhance detection of genetic mutations in cancer diagnostics

Against this backdrop, a team led by Professor Zhang Han and Associate Professor Chen Zhi from Shenzhen University in China , has demonstrated an innovative approach that combines DNA origami, CRISPR ...
ascopubs.org

Novel Clinical Tool to Estimate Risk of False-Negative KRAS Mutations in Circulating Tumor DNA Testing

The model suggests that negative KRAS findings are believable when the maximum of APC and TP53 frequencies is at least 8% (corresponding posterior probability of false negative <5%). Validation ...
News Medical

Deep learning tool identifies mosaic mutations that cause disease

Genetic mutations cause hundreds of unsolved and untreatable disorders. Among them, DNA mutations in a small percentage of cells, called mosaic mutations, are extremely difficult to detect because ...
News-Medical.Net on MSN

Single-cell technique maps pre-malignant gene mutations in solid tissues

A new single-cell profiling technique has mapped pre-malignant gene mutations and their effects in solid tissues for the ...