Knowledge Center

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

Knowledge center hero image

Filter

Reset all
Show Filter
Hide Filter
Show Filter
Hide Filter
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Showing number out of number results
Poster | Real-World Evidence of Immune Checkpoint Inhibitor Treatment in Lung Cancer Patients from a Belgian Multicenter Study
Publication
This is some text inside of a div block.
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).
re-publication re2-
Video | Combining clinical expertise and NLP-AI technology to help in earlier detecting rare diseases
Video
This is some text inside of a div block.
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.
re-videos re2-
Poster | Real-World Insights on Pan-Cancer Immune Checkpoint Inhibitor Treatment: Initial Findings of a Belgian Multicenter Study
Publication
This is some text inside of a div block.
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.
re-publication re2-
Poster | Building Federated Data Networks with Common Data Models to Generate Insights through Real-World Evidence Observational Studies in Oncology
Publication
This is some text inside of a div block.
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.
re-publication re2-
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
This is some text inside of a div block.
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.
re-case-studies re2-
Poster | Automatic data processing to identify EGFR mutations in pathology reports of patients with non-small cell lung cancer (NSCLC)
Publication
This is some text inside of a div block.
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.
re-publication re2-oncology
Publication | Detection of ATTR-CM by automated data extraction from EHRs | ESC Heart Failure
Publication
This is some text inside of a div block.
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.
re-publication re2-
Abstract | Automated retrospective data extraction from EHRs using NLP creating an OMOP-CDM database | OHDSI
Publication
This is some text inside of a div block.
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.
re-publication re2-
Use Case | Unlocking RWE about Immune Checkpoint Inhibitor Treatment in Diverse Cancer Types
Case Study
This is some text inside of a div block.
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.
re-case-studies re2-
Unfortunately we have no content fit for sharing on our website yet. Reach out to our experts to find out how we are making a difference in this therapeutic area.

Curious what LynxCare can do for you?

For Life Science organizations

RWE you can trust. At scale.

Discover how
For Healthcare organizations

Put your data to work.

Discover how

”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