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ISPOR Europe | Poster | Enhancing Data Quality in Health Research: Performance Insights of a Clinical NLP Algorithm for Diverse Medical Domains
Publication
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This study presents performance insights into our clinical Natural Language Processing (NLP) pipeline. We have developed multilingual transformer-based models, trained on in-house curated data, for concept recognition, normalization and attribute extraction such as negation and temporality
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OHDSI Global | Poster | Enhancing Cardiovascular Adverse Event Detection in ICI-Treated Cancer Patients: Lessons Learned from Natural Language Processing Integration with OMOP CDM
Publication
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Cardiovascular adverse events in cancer patients receiving immune checkpoint inhibitors are often under-detected in clinical trials, partly due to the strict inclusion criteria and limited follow-up typical of such studies. This underscores the need for real-world data analysis to gain a more comprehensive understanding of these events.
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OHDSI UK | Poster | 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 | Poster | 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 | Poster | 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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Sentinel | Video | Data Quality dashboard
About LynxCare
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Coming soon!
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OHDSI Europe | Poster | 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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”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.”

Co-founder, LynxCare