Qlucore Insights

Qlucore Insights is a powerful and flexible software platform designed for AI-based disease subclassification, enabling clinical labs and researchers to implement disease-specific tests and models for subtype classification. Built to support advances in precision medicine, it serves as the starting point for using next-generation sequencing (NGS) data in machine learning-based classifiers and gene fusion identification. The platform is suited for frontline labs seeking a user-friendly tool to transform clinical RNA-seq and transcriptomic data into actionable insights, as well as researchers looking to build and evaluate new models or develop companion diagnostics.

A real-world example of Qlucore Insights in practice comes from Rigshospitalet in Copenhagen, Denmark, where a clinical team implemented the platform for in-house use in accordance with Article 5(5) of EU IVDR. The tool was integrated into their RNA lab workflow for the analysis of pediatric leukemia, using whole RNA sequencing (WTS) data from diagnostic ALL samples as input.

Available Disease-Specific Tests

• Pediatric Leukemia (BCP-ALL)
• Acute Myeloid Leukemia (AML)
• Lung Cancer
• Bladder Cancer

Core Capabilities

• Disease-specific subtype classification of individual samples using machine learning classifiers with gene expression levels as input
• First-class gene fusion analysis support, with identified gene fusions included in every report
• Flexible filter settings for the selection and exploration of gene fusions
• Generation of reports with subtype probabilities derived from RNA-seq data input
• A flexible platform architecture that allows disease-specific models (tests) to plug into a single unified solution, enabling labs to manage analysis across a range of tumor types
• A consistent wet lab workflow across all models, based on Illumina RNA-seq kits
• A bioinformatic pipeline built on open-source tools

Visual Reporting and Data Exploration

• Subtype classification results are complemented with flexible, easy-to-interpret visualizations
• Visualizations place individual samples in context with reference data using well-characterized disease cases
• Visual reporting improves both analysis quality and communication of findings
• A user-friendly interface supports exploration of detected gene fusions
• Database integration provides a future-proof solution that adapts to new medical findings

How It Works

1. RNA-seq data is taken as input to the platform
2. A machine learning classifier processes gene expression levels to generate subtype probabilities
3. Gene fusions are identified and filtered using flexible settings
4. A comprehensive report is generated, combining subtype classification results and gene fusion findings
5. Visual outputs place the sample in context with reference datasets for clearer interpretation

Qlucore Insights is designed to support clinical and research environments with a unified, scalable solution. The platform's compatibility with Illumina RNA-seq kits and open-source bioinformatic tools ensures accessibility, while its compliance-aware design — as demonstrated by the Rigshospitalet implementation under EU IVDR — makes it suitable for regulated clinical laboratory settings.