EDGC NICE, a non-invasive prenatal testing (NIPT) service developed by one of the original NIPT pioneers. It highlights EDGC's foundational role and extensive timeline of innovations in the field, emphasizing their proprietary end-to-end process, including specialized tubes and reference materials, which ensures quality control. The service is notable for offering the earliest validated testing window and utilizes an AI-powered analysis engine for enhanced accuracy. EDGC NICE is presented as a globally trusted and regulated platform, operating in numerous countries and distinguished from typical NIPT providers by its origin, early testing capability, advanced technology, and comprehensive infrastructure.

EDGC NICE라는 비침습 산전 검사(NIPT) 기술을 소개하고 있습니다. 이 기술은 세계 최초 NIPT 개발자에 의해 설계되었으며, 임신 6주부터 검사가 가능하여 기존 NIPT보다 더 이른 시기에 검진을 제공합니다. 또한, 인공지능(AI) 기반의 정밀 분석 알고리즘과 샘플 수집부터 보고까지 전 과정을 자체 개발 및 통제하는 기술력을 통해 높은 정확성과 신뢰성을 확보하고 있습니다. 글로벌 30개국 이상에서 사용되고 있으며, 다양한 국제 인증을 획득하여 세계 최고 수준의 품질과 서비스를 자랑합니다.

This academic article explores enhancing lung cancer detection by integrating various biological data with machine learning. The researchers investigated using liquid biopsy multi-omics data, specifically analyzing tumor markers, cell-free DNA (cfDNA) concentrations, and copy number variations (CNVs) from blood samples. They found that while individual data types offered some diagnostic power, combining these multi-omics data with machine learning algorithms significantly improved the accuracy in distinguishing lung cancer patients from healthy individuals, particularly in later stages of the disease. The study highlights the potential for developing more precise and non-invasive diagnostic models for lung cancer.