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Read the latest reports, white papers, and case studies about how LynxCare is transforming RWE

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ESMO MAP | Poster | Automatic data processing to identify EGFR mutations in pathology reports of patients with non-small cell lung cancer (NSCLC)
Publication
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NLP algorithms allow rapid data extraction from pathology reports, thereby offering a time-efficient and cost-effective alternative to manual data processing. In turn, this approach enables rapid insight in current biomarker testing rates and prevalence of (actionable) mutations.
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ESC Heart Failure | Publication | Detection of ATTR-CM by automated data extraction from EHRs
Publication
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Information held in Electronic Health Records (EHRs) hold a significant opportunity to provide physicians and researchers with better and more insights to improve disease management and treatment.
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OHDSI Europe | Poster | Automated retrospective data extraction from EHRs using NLP creating an OMOP-CDM database
Publication
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The study aimed to analyze individuals with ATTR-CM in a real-world heart failure patient population using a federated OMOP-CDM database generated from data of electronic health records.
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Immuno-Oncology | Use Case | Unlocking RWE about Immune Checkpoint Inhibitor Treatment in Diverse Cancer Types
Case Study
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RWE is becoming a valuable addition to randomized controlled clinical trials to better understand the mechanisms and outcomes of cancer treatments. However, most RWD is locked in a non-uniform patient reporting system by hospitals and healthcare professionals. Download our use case in immuno-oncology by completing the form and read how artificial intelligence can help unlock real-world evidence in immunotherapy.
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Heart Failure | Use Cases
Case Study
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Discover how combining clinical expertise, real-world data and technology can save lives of heart failure patients.
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ESC Heart Failure | Publication | Cardio–renal–metabolic syndrome: clinical features and dapagliflozin eligibility in a real-world heart failure cohort
Publication
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An example of the power of real-world data, technology and collaboration to transform patient care. The study aimed to shed light on patient eligibility for SGLT2 inhibitors as a therapy for heart failure patients, providing valuable information for clinicians and researchers.
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Rare Diseases | Video | How technology can support the more rapid diagnosis of rare diseases | Publication in Journal of the Peripheral Nervous System
Video
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The diagnostic delay for rare disease patients can go up to more than 5 years. But were you aware that technology could play a significant role in speeding up the diagnosis time of rare diseases?
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HEART | Publication | Prevalence, outcomes and costs of a contemporary, multinational population with heart failure
Publication
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A large multi-country Real-World Evidence study in heart failure shows that 1–2% of the contemporary adult population has heart failure. Through analyzing data from both national registries and Electronic Health Records, further insights into the burden of heart failure on patients and on our healthcare systems can be gained.
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Use cases | Facilitating RWE collaborations between hospitals and life sciences in cardiology, oncology, neurology and rare diseases
Case Study
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LynxCare is facilitating RWE collaborations between a growing network of hospitals and life science companies in Europe. These federated networks enable qualitative RWE generation at scale across numerous therapeutic areas within a strict legal & ethical framework.
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”We're an active contributor to establishing the pan-European Health Data Evidence Network (EHDEN) and are eager to contribute to building the European Health Data Space to make a more inclusive European healthcare system for all patients.”

Georges De Feu
Co-founder & CEO, LynxCare