Emedgene

Emedgene software is designed to enhance genomic insights for hereditary diseases by streamlining tertiary analysis workflows in rare disease genomics and other germline research applications. It leverages explainable AI (XAI) to accelerate variant interpretation, prioritization, curation, and report generation from sequencing and microarrays.

The software integrates wet and dry lab processes, simplifying and securing complete sequencing or microarray workflows. It supports integration with DRAGEN secondary analysis for accurate and efficient variant calling, speeding up user-driven variant interpretation by up to 75% per subject, from single sample workflows to population-scale studies.

Key Features

• Explainable AI (XAI): Provides high accuracy and transparency, prioritizing insights backed by evidence to enhance workflow efficiency and confidence.
• Automation: Optimizes workflows across test types, maximizing efficiency and scalability by locking in automated flows.
• Powerful API Interoperability: Facilitates integration with laboratory information management systems, storage, and pipelines through APIs.

Emedgene supports scaling variant analysis with up-to-date knowledge sources and automated curation capabilities, allowing labs to keep pace with evolving science and technology. It enables broader analysis through whole-genome sequencing (WGS), whole-exome sequencing (WES), and standardized virtual panels, analyzing various variant types such as SNVs, indels, STRs, CNVs, and structural variants.

The platform also supports launching high-throughput workflows for various genetic research applications, including rare disease research, hereditary risk assessment, and pharmacogenomics. It promotes collaboration by allowing knowledge sharing across a private network of labs.

Emedgene's machine learning capabilities simplify complex variant analysis tasks, enabling labs to handle more tests daily. With a 97% accuracy rate in prioritizing relevant insights, the software suggests variants in complex datasets, significantly reducing manual review time. Automated ACMG classifications for SNV, indel, CNV, and SV variants further enhance time efficiency.

Security and privacy are prioritized, with key features and compliance certifications protecting sensitive NGS data. The software helps eliminate genomic data interpretation bottlenecks, as demonstrated in research studies, supporting labs in scaling their operations effectively.