Yamicc is a healthcare research organization that builds next-generation digital infrastructure to accelerate clinical trials and improve treatment options for rare cancers. The organization is developing a FAIR data platform designed to make research data findable, accessible, interoperable, and reusable, enabling large-scale collaboration and analysis across the European research ecosystem.
Funding
Funding not disclosed
Founders
Product
Problem
Rare cancer research is expensive, biologically complex, and difficult to scale, leaving the 650,000 new patients diagnosed annually in the EU and UK with fewer treatment options and often delayed diagnoses. Data is currently locked in silos across fragmented research efforts, which slows down or even prevents meaningful progress in finding effective treatments.
Solution
Yamicc initiates, facilitates, and coordinates large-scale collaboration to find effective treatments for cancer, with a special focus on rare cancers. The organization is developing the next-generation infrastructure for clinical research using innovative technology, including AI, and is uniting an ecosystem of partners to make trials more affordable, smarter, and faster. Through its innovative data-platform, Yamicc makes research data FAIR (Findable, Accessible, Interoperable, Reusable), enabling large-scale data analysis that was previously impossible with fragmented approaches. The platform provides tools that support clinical trials in significantly reducing both time and effort within a united data ecosystem, connecting researchers and their data through a central infrastructure.
Target Audience
Primary stakeholders are clinical researchers, academic medical centers, and healthcare organizations conducting cancer research in the Netherlands and across the EU and UK, particularly those focused on rare cancer types.
Features
- FAIR data platform that makes research data findable, accessible, interoperable, and reusable across institutions
- AI-powered technology integrated into the research infrastructure to accelerate analysis and discovery
- United data-platform tools designed to reduce both time and effort required for clinical trials
- Centralized infrastructure that transforms fragmented research approaches into an integrated ecosystem
- Large-scale data analysis capabilities supporting collaborative research across multiple organizations