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Evaluating the performance of LynxCare’s proprietary clinical NLP pipeline against two open-source alternatives
We evaluated the performance of LynxCare’s clinical NLP pipeline against two open-source alternatives. Our goal was to assess out-of-the-box performance on multilingual biomedical text, particularly electronic health record (EHR) data.
Cardiovascular toxicities in cancer patients treated with immune checkpoint inhibitors
Our joint pan-tumour study on cardiovascular toxicities in cancer patients treated with immune checkpoint inhibitors just got published in ESMO Real World Data and Digital Oncology.
eGFR Slope as Predictor of Mortality in Heart Failure Patients
This real-world evidence study highlights the potential of integrating eGFR trends into clinical assessments, paving the way for more personalized and proactive HF management.
Detection of ATTR-CM by automated data extraction from EHRs
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.
Cardio–renal–metabolic syndrome: clinical features and dapagliflozin eligibility in a real-world heart failure cohort
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.
Prevalence, outcomes and costs of a contemporary, multinational population with heart failure
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.
Detection of aTTR-CM in a real-world heart failure population by NLP-guided automated data extraction from EHRs
The underdiagnosis as well as frequently delayed diagnosis of cardiac aTTR amyloidosis (aTTR-CM), a progressive and fatal cardiomyopathy, asks for improved screening.
Better screening of patients for rare diseases through an NLP algorithm
A clinically-validated NLP algorithm offers a valid and accurate tool to detect red flag symptoms in medical records across multiple disciplines, supporting better screening for patients with rare diseases.
Direct anterior approach for total hip arthroplasty using the “bikini incision”
LynxCare’s data insights enabled the detection of unknown transient events associated with direct anterior approach total hip arthroplasty.
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