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The purpose of the MARE technology
With the MARE Technology, our purpose is to harness cutting-edge AI models to empower healthcare professionals in delivering outstanding patient care, significantly enhancing health outcomes and revolutionizing the healthcare landscape. We are dedicated to facilitating the training of these AI models through comprehensive medical data research, propelling this transformative movement and creating innovative AI solutions for our Technopark community and researchers worldwide.
To achieve this goal, we are proud to partner with CompuGroup Medical, a globally acting EMR provider. Together, we are establishing a premier AI training hub for healthcare data in Europe and the United States, equipped with state-of-the-art resources and expertise that will enable researchers to develop and train advanced AI models. By fostering innovation and collaboration, we aspire to set new standards in the field of healthcare technology.
To support research
The multimodal MARE Data Lake is an innovative data platform designed to collect, manage, and analyse healthcare data on a large scale. With a strong emphasis on data security and privacy, our infrastructure complies with national and European regulations, ensuring the highest level of protection for sensitive information. Its multi-cloud and federated architecture offers exceptional flexibility and scalability, supporting complex workloads while ensuring global data access.
Patient privacy is paramount at MARE. Our Data Lake employs advanced de-identification technologies to effectively remove all personal health information (PHI), even from unstructured data. Additionally, a GDPR-compliant consent management system strengthens our commitment to privacy, utilizing multi-layered de-identification processes that actively prevent re-identification attempts.
We are strongly committed to responsible handling of health data, guided by ethical principles and operational integrity. This includes adherence to ethical guidelines, continuous employee training, and close collaboration with data protection and privacy officers to ensure compliance and trust throughout the research process.
The MARE Data Lake is equipped with state-of-the-art annotation and cataloguing tools that streamline data preparation and standardization such as FHIR and OMOP, significantly reducing development time for the research teams. Researchers gain access to a diverse range of healthcare information, including longitudinal EHR real-world data, ensuring quality and consistency through advanced data integration and harmonization technologies. Our cohort builder tool allows users to easily define targeted patient-level longitudinal research cohorts, facilitating seamless translation of various data sources, including EMR, PACS and RCM.
With the MARE Data Lake, researchers can concentrate on its research scope and model training rather than spending excessive time on data preparation tasks. Our platform minimizes the manual work needed to obtain data, providing an efficient process for handling data requests and delivering the necessary information to researchers.
To improve healthcare
Introducing the modular MARE AI Engine, the technological core of our platform. It serves as an AI training center for experimentation, modelling, and validation, specifically designed to support researchers, data scientists, and developers. The MARE AI Engine optimizes the entire lifecycle of AI models, enabling faster innovation and enhancing operational efficiency. It allows for the training of customized AI models using data from the MARE Data Lake.
The AI Engine establishes an environment specifically tailored for healthcare, where AI models are developed and adapted to meet medical requirements and clinical applications. This ensures that the solutions created are not only technically advanced, but also aligned with the specific needs, standards, and challenges of the healthcare sector.
Take advantage of our workbench to rapidly train AI models. Unlock next-generation insights and easily develop novel use cases with our state-of-the-art AI technology. Our AI Engine features robust multi-sided APIs that facilitate tooling in Python and support leading AI frameworks like TensorFlow and PyTorch, including integrated capabilities with other large language models (LLM) and natural language processing (NLP). Additionally, the platform includes comprehensive audit and traceability tools that monitor every activity to ensure transparency and regulatory compliance with international standards.
By partnering in secured virtual research enviroments
We invite research institutes, academia, the Life Science industry, healthcare professionals, and other stakeholders to collaborate on exciting and innovative research projects. Our team has extensive experience in conducting medical data analysis. By combining our expertise, we can tackle complex medical issues and gain valuable insights that help improve healthcare together. We can achieve a more comprehensive understanding of diseases, treatment outcomes, and patient populations. These collaborations enable us to accelerate medical progress on a global scale.
- Comprehensive market evaluations
- Conducting feasibility assessments
- Identification of cohorts
- Real-world evidence (RWE) control group establishment
- Clinical trials supported by electronic medical records (EMR)
- Assessment of comparative and long-term effectiveness
- Preparation of datasets for artificial intelligence (AI) and machine learning (ML) training
- Creation of predictive modeling
- AI Model monitoring in pilot deployments
