A more efficient data infrastructure is a key stepping stone for improving health research in Europe. Projects related to such an infrastructure have to meet a wide range of needs, over a longer period. The needs include collection, storage, analysis, and archiving of data generated during biomedical research projects, as well as implementation of new technologies such as Artificial Intelligence, wearable devices, and federated analysis (e.g. “Personal Health Train”). Development is often beyond the capabilities of any single party.
Lygature offers experience in supporting multi-center projects in this domain with a focus on data stewardship across clinical, imaging, biobanking, and experimental (any-omics) domains. We typically avoid major software development projects in favor of adapting proven technologies to specific research needs. The goal is to ensure faster implementation times and more dependable results.
Portfolio
IDERHA
Building a scalable platform for a seamless integration or linkage of diverse real world data to support healthcare professionals, patients and researchers with new capabilities.
Goal: To improve clinical decision-making and enhancing patient access to health innovations through better use of health data.
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BIGPICTURE
European Digital Pathology Platform for development and validation of Artificial Intelligence
Goal: he BIGPICTURE project will build a European Digital Pathology Platform with the ultimate aim to accelerate the field of AI Pathology.
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HPV-kankervrij.nl
Supporting healthcare professionals in eradicating HPV-related cancers.
Goal: The Taskforce HPV-kankervrij.nl aims for an HPV vaccination coverage of >90%, cervical cancer screening participation of >70%, and better treatments of all HPV-related cancers.
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Personal Health Train
The Personal Health Train (PHT) is designed to enable health care professionals, innovators and researchers to work with health data from various sources.
Goal: To enables responsible access to data, while ensuring privacy protection and optimal engagement of individual patients and citizens.
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FAIRplus (completed)
The FAIRplus project aims to develop tools and guidelines for making life science data FAIR
Goal: The goal of FAIRplus is to deliver guidelines and tools to facilitate the application of the ‘FAIR’ principles to data from at least 20 other IMI projects as well as datasets from pharmaceutical companies
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Parelsnoer Institute (completed)
An efficient infrastructure and harmonized procedures for multicenter clinical biobanks.
Goal: To facilitate high quality multicenter biobank research and improve patient care.
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