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

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OHDSI UK | Integrating advanced NLP techniques with the OMOP CDM enhances the accuracy and completeness of hematologic oncology data
Publication
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Enhancing Hematologic Oncology Data Capture in the OMOP CDM: Methodological Advances and Challenges
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ESMO | Real-world usage and adverse events of immune checkpoint inhibitors (ICI): a large-scale, automated, GDPR-compliant analysis of hospital records
Publication
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Discover the initial findings of a multi-center study into the real-world usage and adverse events of immune checkpoint inhibitors.
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ESMO | Cardiovascular toxicities in cancer patients treated with immune checkpoint inhibitors: Evidence from a Belgian real-world multicenter study
Publication
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Learn more on the results of a multi-center study on cardiovascular toxicities in 1500+ real-world cancer patients treated with immune checkpoint inhibitors
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OHDSI Europe | Lung Cancer Patient Treatment with Immune Checkpoint Inhibitors: Multicenter, NLP-guided Data Extraction from EHRs​
Publication
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Analysis of Lung Cancer Patient Treatment with Immune Checkpoint Inhibitors Using Natural Language Processing for Data Extraction from Electronic Health Records
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European Lung Cancer Congress | Poster | Real-World Evidence of Immune Checkpoint Inhibitor Treatment in Lung Cancer Patients from a Belgian Multicenter Study
Publication
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Discover the initial findings of the ICI-treated lung cancer patient cohort of 730+ patients regarding demographic and clinical characteristics, ICI treatments, and overall survival (OS).
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aTTR-CM | Video | Combining clinical expertise and NLP-AI technology to help in earlier detecting rare diseases
Video
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In collaboration with Heart Center Aalst, we conducted a study in which complete Electronic Health Records of patients were processed and analyzed using LynxCare’s cutting-edge clinical NLP-AI technology in search of phenotypes compatible with aTTR-CM, a rare cardiac disease.
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ESMO Immuno-Oncology | Poster | Real-World Insights on Pan-Cancer Immune Checkpoint Inhibitor Treatment: Initial Findings of a Belgian Multicenter Study
Publication
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To bridge the gap between clinical trial patients and real-world populations, we conducted a comprehensive study in Belgium to characterize cancer patients treated with immune checkpoint inhibitors (ICIs), which have demonstrated survival advantages in various cancer types.
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ISPOR Europe | Poster | Building Federated Data Networks with Common Data Models to Generate Insights through Real-World Evidence Observational Studies in Oncology
Publication
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Accessing and standardizing raw clinical data across multiple hospitals presents a challenge in Oncology. However, it is crucial to use real-world data sources such as electronic health records (EHR) to leverage untapped information. We are building a federated data network to facilitate GDPR-compliant data exchange of large datasets, with hospitals as owners. This network, governed by a common data model (CDM), is aimed at fostering multicenter, observational, real-world evidence (RWE) studies in Oncology, with breast cancer, lung cancer, and immunotherapy as therapeutic areas of focus.
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Heart Failure | Use Case | Using AI and NLP on EHRs of Heart Failure patients to examine the impact of estimated glomerular filtration rate trend on mortality
Case Study
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This study aimed to investigate the prevalence of impaired renal function at the time of Heart Failure diagnosis and its correlation with short and long-term outcomes in a real-world cohort of Heart Failure patients.
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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