Core contributor across all three projects (MEL-PLEX, TRAIN-ERS, COLOSSUS), providing mathematical and simulation models for disease processes.
OPTIMATA LTD
Israeli SME providing computational disease modeling and patient stratification tools for precision oncology research consortia.
Their core work
Optimata is an Israeli SME specializing in computational and mathematical modeling of disease biology, particularly cancer. They develop simulation tools and systems medicine approaches that help researchers stratify patients and predict treatment outcomes. Across their H2020 portfolio, they have contributed computational modeling expertise to projects spanning melanoma, colorectal cancer, and stress-related disease mechanisms, consistently serving as the quantitative modeling partner within large international consortia.
What they specialise in
MEL-PLEX focused on melanoma complexity and COLOSSUS explicitly targets patient stratification in metastatic colorectal cancer using multi-omics data.
COLOSSUS project applies systems medicine approaches integrating immunomics and multi-omics for molecular subtyping of RAS-mutant colorectal cancer.
TRAIN-ERS project addressed ER stress and unfolded protein response mechanisms across cancer, inflammation, and neurodegeneration.
How they've shifted over time
Optimata's early H2020 involvement (2014-2016) centered on training networks in translational cancer research (MEL-PLEX) and fundamental disease mechanisms like ER stress (TRAIN-ERS), suggesting a broad exploratory phase. By 2018, their focus sharpened significantly toward precision oncology — the COLOSSUS project brought together computational models, multi-omics, immunomics, and patient stratification for a specific clinical application in colorectal cancer. The trajectory shows a clear move from general disease modeling toward applied precision medicine with direct clinical relevance.
Optimata is moving toward clinically actionable computational tools for precision oncology, making them a relevant partner for projects that need in silico patient stratification or treatment response prediction.
How they like to work
Optimata operates exclusively as a participant, never coordinating — consistent with a specialist SME that provides a defined technical capability (computational modeling) to larger research consortia. With 42 unique partners across 16 countries from just 3 projects, they work in large, diverse consortia rather than small focused teams. This suggests they are comfortable integrating into complex multi-partner setups and delivering modular contributions alongside academic and clinical partners.
Despite only three projects, Optimata has built a broad network of 42 partners across 16 countries, reflecting the large consortium sizes typical of MSCA training networks and RIA health projects. Their reach spans well beyond Israel into the European research ecosystem.
What sets them apart
Optimata brings a rare combination for an SME: proprietary computational modeling capabilities applied specifically to cancer biology and precision medicine. As an Israeli company embedded in European health research consortia, they bridge the strong Israeli biotech ecosystem with EU research infrastructure. For consortium builders, they offer a ready-made quantitative modeling component — the kind of specialized SME contribution that EU evaluators look for to demonstrate industry involvement and translational potential.
Highlights from their portfolio
- COLOSSUSMost recent and clinically focused project — applies systems medicine to metastatic colorectal cancer patient stratification, representing Optimata's clearest precision medicine application.
- MEL-PLEXLargest EC funding (EUR 260,301) and their first H2020 project, establishing their role as a computational modeling partner in translational melanoma research.