Abstract: One of the main causes of death for women globally is breast cancer, and better treatment results depend on early and precise identification. In order to classify breast cancer using medical ...

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer.

A mysterious RNA found in breast cancer led scientists to uncover an entire hidden class of cancer-specific RNAs across ...

A new light-based sensor can spot incredibly tiny amounts of cancer biomarkers in blood, raising the possibility of earlier and simpler cancer detection. The technology merges DNA nanotechnology, ...

When scientists sequence tumor DNA, they typically find small amounts of genetic code from bacteria, viruses and fungi – microorganisms that, if actually present in tumor tissues, could influence how ...

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 ...

1 Department of Software Engineering, University of Engineering and Technology-Taxila, Taxila, Pakistan 2 Information Systems Department, College of Computer and Information Sciences, Imam Mohammad ...

Android Malware Detected Using Machine Learning to Automatically Detect and Click on Ads The malware can switch to a signalling mode that allows attackers to manually scroll and tap through a live ...

Artificial intelligence may soon help identify dangerous skin cancers, including melanoma, thanks to groundbreaking research at the University of Missouri. The study used a database of over 400,000 ...

What if the earliest signs of skin cancer could be identified sooner—before a dermatology appointment? Researchers at the University of Missouri are exploring how artificial intelligence could help ...