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SOPHiA DDM for MultimodalSOPHiA GENETICS

Integrate longitudinal data from multiple sources and data modalities to generate new insights. Leverage SOPHiA CarePath® for enhanced data visualization, cohorting, and predictive analytics.

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Vendor

SOPHiA GENETICS

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Explore new frontiers in biology and disease through novel insights

Break down data silos by unifying genomic, imaging, clinical, and biological oncology data, while harnessing powerful algorithms in SOPHiA DDM™ to generate entirely novel insights and accelerate data-driven medicine.

Charting new territories in cancer research

SOPHiA DDM™ for Multimodal harmonizes and standardizes different data modalities for novel insights generation in SOPHiA CarePath®. Test research hypotheses with cohorting and prediction functionalities, and collaborate with other institutions on groundbreaking research.

Comprehensive data integration

Harmonize and visualize multimodal oncology data within a single platform to power meaningful research hypothesis generation.

Predictive model development

Harness advanced AI algorithms in SOPHiA DDM™ to uncover actionable insights and drive new discoveries.

Global collective intelligence

Participate in multicenter research studies utilizing SOPHiA CarePath® for patient cohorting and multimodal data visualization.

Navigate multimodal data to unlock actionable insights

Multiple Modalities

Multimodal healthcare data are securely uploaded through a meticulous ETL process from various sources and multiple centers to SOPHiA CarePath®, providing accurate, consistent, and high‑quality data integration and storage.

One Platform

By harnessing the power of AI, the SOPHiA DDM™ multimodal harmonization engine integrates data from different data models, standardizing it for visualization, cohorting, and analysis in SOPHiA CarePath®. Machine learning models are developed in the SOPHiA DDM™ Multimodal Factory to reliably identify predictive signals.

Novel Insights

SOPHiA CarePath® integrates multimodal data to enable patient cohorting and predictive analytics. These capabilities support the identification of trends in disease relapse, treatment response, and toxicity across oncology indications.

Discovering new horizons in precision medicine

SOPHiA DDM™ uses AI‑driven algorithms to harmonize and standardize multimodal healthcare data for advanced analysis. Its powerful data visualization, cohorting, and prediction capabilities, proven in clinical studies like DEEP‑Lung‑IV and UroPredict, help to drive the advancement of precision medicine.

Visualization

Our DEEP‑Lung‑IV international observational study combines real‑world clinical, biological, genomic, and radiomic data to identify predictive treatment response signatures in stage IV non‑small cell lung cancer.  SOPHiA CarePath® enables the visualization of longitudinal patient data, including routine imaging.

Cohorting

In DEEP-Lung-IV, we standardized and harmonized real-world data, leveraging our cohorting capabilities to generate novel research hypotheses.

Prediction

We collaborated with UroCCR, the French Kidney Cancer Research Network, to develop a machine learning model for the prediction of kidney cancer recurrence. The resultant UroPredict calculator predicts the probability of disease‑free survival and assigns patients to a recurrence risk group.

Get prognostic oncology insights with SOPHiA DDM™ Digital Twins

Harness a highly curated and rich clinico-genomics oncology dataset with real-world outcomes to support more informed decision-making through comparison with similar profiles. Enhance the clinical utility of MSK Solutions powered with SOPHiA DDM™ by leveraging prognostic insights:

  • Progression-free survival
  • Overall survival
  • Clinical response at 3 months
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