Purpose: The purpose of this research was to assess the effectiveness of copy number variation sequencing (CNV-Seq) and quantitative fluorescence polymerase chain reaction (QF-PCR) in detecting ...

Study of 99 pediatric patients found clinically significant CNVs in 30% of cases, supporting CMA as a first-tier test for developmental delay and ID. Clinically significant CNVs were identified in 30% ...

Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...

YouTube revealed on Tuesday that its likeness-detection technology has officially rolled out to eligible creators in the YouTube Partner Program, following a pilot phase. The technology allows ...

The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Hertz and other agencies are increasingly relying on scanners that use high-res imaging and A.I. to flag even tiny blemishes, and customers aren’t happy. By Gabe Castro-Root The next time you rent a ...

I've used Savana to detect both CNVs and SVs in a tumor-normal pair with 40x coverage (ONT). But when looking at the SV vcf, I find no matching deletion/duplication as the CNV algorithm. For SV, it ...

Kinil Doshi is a Senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. In this article, I want to explore AI applications in fraud ...

Abstract: Copy number variation (CNV) is a remarkable manifestation of genomic structural variations that affect human health. However, CNV detection in low coverage and low purity data is one of the ...