How it works - Qlucore Diagnostics

Our CE-marked IVDR tool, Qlucore Diagnostics, revolutionizes RNA-seq cancer diagnostics for Acute Lymphoblastic Leukemia (BCP-ALL). It offers precise gene expression subtype classification of B-cell leukemias and gene fusion analysis support.

We’re continuously working to expand our certification to include additional cancer types, ensuring broader diagnostic capabilities and improved patient outcomes.

Qlucore Diagnostics platform solution

Qlucore Diagnostics offers a scalable, end-to-end (data to report) diagnostic solution, transforming data into actionable reports. Our platform combines machine learning-based subtype classification with intuitive reporting and visualization, ensuring clear communication between labs, clinicians, and patients.

  • AI-powered, disease-specific machine learning classifiers based on gene expression.
  • Plug-in software architecture for multiple disease areas.
  • Tier-based gene fusion reporting.
  • Patient-friendly visualizations in an easy-to-use, cost-effective software solution.
  • RNA sequencing data and standard NGS workflows compatibility.

The Qlucore Diagnostics Platform is designed for use with one or several Qlucore Diagnostics Models, intended for trained healthcare professionals in clinical laboratory settings. Key roles include geneticists, laboratory scientists, bioinformaticians, and medical specialists in genetics and oncology for interpreting the report.

 

Workflow for Qlucore Diagnostics

The workflow from patient sample to the output from Qlucore Diagnostics is outlined in the figure below:

 Workflow


Qlucore Diagnostics for Acute Lymphoblastic Leukemia (BCP-ALL) CE-marked 

Our Qlucore Diagnostics BCP-ALL software is an in-vitro diagnostic medical device for precision cancer diagnostics based on RNA-seq data. It is designed for installation in hospitals and central clinical labs to analyze, interpret, and display results from next-generation sequencing (NGS) of bone marrow or peripheral blood samples.

  • AI-powered cancer-specific machine-learning model.
  • User-friendly reports and 3D visualizations.
  • Disease-agnostic platform with specialized models for pediatric patients.

Qlucore Diagnostics BCP-ALL assists in classifying samples into subtypes using molecular information. It imports RNA-sequencing data as well as RNA-seq data that have been processed by gene fusion detection algorithms, offering two key features:

  • Gene fusion identification.
  • Machine learning-based classification of BCP-ALL subtypes based on gene expression levels.

Gene fusions are automatically quality-checked and presented in tiers based on their relevance to BCP-ALL. The gene expression analysis supports subtype classification, enhancing diagnostic accuracy.

View a draft example of how a report might look.