CorLipid - Presymptomatic test for Coronary Artery Disease risk

 

The CorLipid decision support machine learning algorithm combined with our advanced omics blood analysis achieves precision medicine. The algorithm utilises a panel of 73 selected initial demographic, biochemical and metabolic markers from 1065 patients to predict the risk of Coronary Artery Disease (CAD). The CorLipid algorithm is based on 4 years of extensive research in Cardiovascular disease and metabolomics biomarkers. Our approach, methods and results have been reviewed extensively internally and also by peer review through the publication of a number of research manuscripts and several presentations in international scientific conferences. For more information please read our publications and do not hesitate to enquire with us.

 

 

Related Articles

Machine Learning Algorithm to Predict Obstructive Coronary Artery Disease: Insights from the CorLipid Trial, Panteris E.

Prognostic significance of metabolomic biomarkers in patients with diabetes mellitus and coronary artery disease, Karagiannidis E.

Metabolomics biomarkers in association with nutritional interventions in cardiovascular disease, Deda O.

Correlation of serum acylcarnitines with clinical presentation and severity of coronary artery disease, Deda O.

Correlation of the severity of coronary artery disease with patients’ metabolic profile-rationale, design and baseline patient characteristics of the CorLipid trial, Karagiannidis E.

Prognostic significance of novel serum biomarkers in patients with acute coronary syndrome, Karagiannidis E.

Serum ceramides as prognostic biomarkers of large thrombus burden in patients with STEMI: a micro-Computed Tomography study, Karagiannidis E.

Development and validation of a RPLC-MS/MS method for the quantification of ceramides in human serum, Begou O.

A HILIC-MS/MS method development and validation for the quantitation of 13 acylcarnitines in human serum, Meikopoulos T.

Lab Report Writing – an Introduction

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Our country possesses approximately 170 billion barrels of oil that can be recovered with today’s technology. Of that number, 165 billion barrels are located in the oil sands.

Our country possesses approximately 170 billion barrels of oil that can be recovered with today’s technology. Of that number, 165 billion barrels are located in the oil sands.

Our country possesses approximately 170 billion barrels of oil that can be recovered with today’s technology. Of that number, 165 billion barrels are located in the oil sands.

Our country possesses approximately 170 billion barrels of oil that can be recovered with today’s technology. Of that number, 165 billion barrels are located in the oil sands.