The new generation advanced platform for the management, storage and analysis of large-scale multi-omics data and medical images in clinical studies and research projects.

A comprehensive single view platform

QP-Insights®, a comprehensive web-based cloud platform, that centrally manages, stores and quantitatively analyzes multi-omics data and is interoperable with other registries. Our customers can use our platform and embedded products to augment their analytical capabilities and to extract new predictive models and biomarkers by linking imaging data with electronic health records (EHR) data processed.

The platform’s infrastructure ensures state-of-the-art security, scalability and global deployability. It harmonizes imaging data, generating a standardized image quality that minimizes variability in image quality across equipment manufacturers and acquisition protocols.

The image server is a DICOM node that, via open standards such as DICOM and DICOM web, manages the storage and transfer of all DICOM-based medical imaging data. It can be integrated with an on-premises PACS via QP-Link, and it offers manual upload/download functionality of the web platform.

QP-Insights® is built in an anonymization module complying with HIPAA/GDPR with a two-factor authentication. QP-Insights completely removes all data from DICOM images and clinical records that might be used for re-identification. This functionality is present for both the automated upload (via QP-Link) as well as for the manual upload via the QP-Insights portal. In addition, to further reduce the risk of re-identification, the QP-Insights platform uses only encrypted data storage, and only transfers the data in an encrypted form.

The Quibim analytics engine is responsible for all processing and inferencing on image and clinical data. The event logging, audit trailing and monitoring services ensure observability of the QP-Insights platform, and rules & workflows services govern automation in the platform.

Subjects view in QP-Discovery platform

Subjects view in QP-Insights® platform with the listed imaging exams and their corresponding data

Imaging exams view in QP-Discovery platform with the listed imaging series and their corresponding data

Imaging exams view in QP-Insights® platform with the listed imaging series and their corresponding data

QP-Insights® platform is highly customizable based on the user’s requirements, includes an embedded zero footprint DICOM viewer for radiological readings, semi-automatic treatment response evaluation, AI driven organ/lesion segmentation and automatic quantification of imaging biomarkers, incorporates e-forms interoperability and a DataMiner tool.

  • Zero-footprint DICOM viewer

    It allows users to load, display, and annotate DICOM files. The annotation tool provides a complete diagnostic aid, allowing the user to annotate findings and regions of interest (ROI) and to perform organ segmentation with accurate and easy-to-handle tools.

  • AI driven organ/lesion segmentation

    Organ-agnostic automated methodology for model development applied to various imaging modalities (MRI, CT, PET, PET/CT, PET/MRI), anatomical areas and clinical conditions, combined with an innovative procedure for quality checks and anomaly detection.

  • AI-powered based-imaging tools

    The AI Radiomics analysis modules help our customers go one step further in your research by revealing information embedded within conventional scans for a variety of anatomical areas, increasing the diagnostic accuracy, prognostic evaluation, and prediction of therapeutic responses.

  • E-forms interoperability

    Real-time integration of imaging biomarkers quantification with and electronic data capture (EDC) for clinical trials. QP-Insights platform also offers an eCRF customized for each specific clinical study.


    Example of an eCRF integrated in QP-Discovery for localized prostate cancer

    Example of an eCRF integrated in QP-Insights for localized prostate cancer

  • DataMiner tool

    With our visual analytics techniques, our customers can explore and export results on patient cohorts and conduct preliminary statistical analyses and studies of patient populations by applying clustering techniques based on all the imaging and multi-omics data available.