Qlucore Newsletter: Smarter Subtyping of Lung Cancer Samples

Looking for smarter lung cancer sample analysis? Qlucore Insights* combines gene expression-based subtyping with gene fusion detection and is designed for fast, and reliable results.  

• Easier metastasis identification through gene expression profiles: 
  Includes tissue of origin (TOO) classification—cutting costs and saving resources. 

• One test gives multiple insights: 
  Save time and reduce complexity with a single, comprehensive analysis. 

• Supports clinical guidelines and novel discoveries: 
  Detect known biomarkers as well as novel gene fusions. 

• Automated and reproducible: 
  Removes subjectivity from tissue analysis. 

• Flexible sample compatibility: 
  Works with FFPE and fine needle biopsies. 

Qlucore Insights is built on AI-powered machine learning and transcriptomics data. It delivers fast, cost-effective, and objective sample analysis. It works with standard lab workflows and supports fixed and embedded tissue specimens, making integration seamless. 

* Qlucore Insights is intended for research applications. For clinical use, Qlucore Diagnostics BCP-ALL for pediatric leukemia is IVDR-compliant, and a lung cancer version is currently in development. 

Visit Lung Cancer model (RuO) | Qlucore to learn more or join one of our upcoming webinars.