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Rare diseases, such as hATTR polyneuropathy, are a major diagnostic challenge. The biggest obstacle? The lack of specific symptoms in hATTR polyneuropathy, which doesn’t allow for its early diagnosis, lowering the patient’s chances of getting timely access to the right treatment. Read on to learn how an AI-driven framework using Natural Language Processing (NLP) can detect hATTR red flag symptoms in Electronic Health Records (EHRs), leading to a 48.6% relative increase in genetic testing for this condition.

In May 2022, the European Commission announced the launch of the European Health Data Space (EHDS), one of the central building blocks of a strong European Health Union. The EHDS will help the EU to achieve a quantum leap forward in the way healthcare is provided to people across Europe.

In this blogpost, we discuss the significance of OHDSI, OMOP, and EHDEN in improving healthcare through data standardization and efficient analysis. We detail the advantages of OMOP CDM data warehouses for hospitals and showcase how LynxCare contributes to implementing these data warehouses.

Learn more about what LynxCare stands for: from a cloud-agnostic solution and quality assurance to fostering research and network opportunities with European Real-World Data.

CB Insights has released its “Digital Health 150” 2022 list, ranking LynxCare among the 150 most promising digital health startups in the world.

Today, we’re excited to announce the next big step in our journey: the completion of a €20M Series A investment round.

Illustrating LynxCare’s commitment to open-source common data models, the European Health Data and Evidence Network (EHDEN) has awarded LynxCare the certificate of EHDEN SME partner.

Illustrating LynxCare’s commitment to providing an effective and secure AI-powered clinical data platform for hospitals, LynxCare has received ISO 27001 certification for its overall security management.

New technologies such as data mining, cloud computing, etc. must be used to uncover live-saving insights into this plethora of data. The question is: Can hospitals use these novel techniques to analyze this data? And is the GDPR an obstacle in this process?