Yamicc
Yamicc is a nonprofit foundation that initiates, facilitates, and coordinates large-scale collaboration to accelerate research into effective treatments for rare cancers. The organization is building a next-generation data platform that makes research data FAIR (Findable, Accessible, Interoperable, Reusable) and integrates AI-powered tools to make clinical trials cheaper, smarter, and faster. The platform connects hospitals and researchers through a central infrastructure, addressing the technical, legal, and organizational barriers that currently prevent effective collaboration.
- Healthcare Technology
- Artificial Intelligence
- Software Only
- Data & Analytics
- Digital Health
Funding
Founders
Founder details are not available yet.
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. Yamicc transforms today's fragmented approach into an integrated ecosystem, all with one shared purpose: effective treatments, faster.
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
- Tools that address technical, legal, and organizational barriers that currently prevent hospitals from collaborating on rare cancer research