Wider Availability of Synthetic Data
LSEARCH democratises access to high-quality, interoperable synthetic datasets, fuelling research and the development of integrated healthcare solutions that directly benefit patients.
SEARCH
At the Synthetic hEalthcare dAta goveRnanCe Hub (SEARCH), we are revolutionising healthcare by harnessing the power of AI, synthetic data generation, and federated learning to drive cutting-edge solutions in medical research and patient care. Our mission is to create an integrated, secure, and privacy-preserving ecosystem where healthcare data can be shared and utilised across sectors, unlocking new possibilities in diagnostics, treatment, and personalsed medicine.
Our Vision
SEARCH is designed to overcome the traditional barriers in healthcare data sharing, such as privacy concerns, security risks, and institutional silos. By integrating synthetic data generation technologies with federated learning models, SEARCH ensures that sensitive patient data remains protected while fostering collaboration across public and private sectors.
Our unique platform will empower AI-driven clinical decision support and enable the development of novel healthcare tools, accelerating research, reducing bias, and improving the accuracy of diagnosis and treatment.
What We Do
SEARCH focuses on three critical areas of healthcare: cardiovascular, gastrointestinal, and gynecological diseases. We generate high-quality synthetic datasets that replicate real-world healthcare data while ensuring GDPR compliance and privacy protection. Our synthetic data mimics electronic health records (EHRs), genomics, imaging, and medical signal data, enabling healthcare professionals and researchers to conduct advanced analytics without compromising patient privacy.
Through federated learning, SEARCH allows institutions to collaborate on AI/ML models without the need to share actual datasets. This not only protects sensitive information but also facilitates large-scale research that accelerates innovation in healthcare diagnostics, personalised treatment, and predictive modelling.
Key Features
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Federated Learning Network
SEARCH connects data owners and researchers via a federated network, where AI models can be trained on distributed data without centralising it. This ensures both privacy and security while enabling large-scale analysis.
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Synthetic Data Generation
Our deep generative models create FAIRified synthetic data that retains the statistical properties and utility of real-world datasets. These data types include structured EHRs, medical signals, genomics, radiological imaging, and more.
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AI-Powered Decision Support
SEARCH delivers explainable AI/ML tools that aid healthcare providers in making informed decisions, ensuring that both clinicians and patients benefit from enhanced diagnostic accuracy and treatment effectiveness.
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Impact
SEARCH is expected to have a profound impact on healthcare, driving the availability of synthetic data and enabling faster, more secure research into complex diseases. By providing a wider range of interoperable data tools, SEARCH facilitates AI innovation and shortens the time-to-market for personalised health interventions.
Improved Clinical Insights
With the combination of m-health, e-health, and synthetic data, SEARCH enables deeper insights into the challenges faced by patients with complex conditions, allowing for more tailored treatment approaches.
Accelerated Healthcare Innovation
SEARCH enables faster prototyping of personalised health interventions by reducing bias in AI models and offering new tools to improve diagnosis and treatment efficacy.
Collaborative Ecosystem
With a consortium of 26 leading institutions, SEARCH aims to create a scalable, interoperable platform that ensures access to synthetic datasets while aligning with the European Health Data Space (EHDS).
