Deliverables

MEDomicsLab: Integrative Modeling of Heterogeneous Data in Medicine

Developing predictive models for personalized treatments: that's what MEDomicsLab is all about. Informatics specialists work with clinicians to improve care. Find out more.
8 January 2025

MEDomicsLab is an open-source platform for integrative modeling of heterogeneous data in medicine. It has the potential to help improve the quality of care for patients in primary care.

Why this platform?

MEDomicsLab is a central hub where users can manage datasets, train predictive models, and run various experiments without switching between tools.

The name

  • MED = Heterogeneous Medical Data
  • Omics = Characterization of biological processes
  • Lab = Work platform
  • Data integration
  • Data pre-processing
  • Data analysis
  • Data visualization

Helping medical AI teams work better together

The MEDomicsLab paradigm is a synergistic process. Clinicians and computer scientists work together throughout the process. They collaborate on clinical problem definition, data collection, data management, AI hypothesis generation, hypothesis refinement and result visualization.

Strengthening collaboration between medical AI research teams

We envision the MEDomicsLab platform becoming a powerful tool that strengthens collaboration between medical AI research teams. Find out how in this document.

  • Implementation and change management