Lundoch Diagnostics
Know your risk and stop diabetes!
Are you suffering from overweight, fatigue, eating disorder, stress, high blood pressure, lack of sleep, digestive issues, headache, or depression? You may worry about having diabetes, but your blood sugar appears normal. However, you may still be at risk of developing type 2 diabetes within a few years, and without knowing the risk, you may lose the only chance in life to prevent diabetes.
With LDcoder® developed by Lundoch, you can detect your diabetes risk that historically has not been possible with ordinary blood sugar tests.
LDcoder® detects very early diabetes risk, at least 4 years before clinical diagnosis. This is possible via the world’s first AI-driven blood biomarker test developed from large international clinical study at Lund University, Sweden.
LDcoder® helps you know your health risk and stop diabetes before it strikes.
Prevention is better than cure!
Lundoch: a company with a global mission
Lundoch Diagnostics was founded in 2020 at the campus of Lund University, Sweden. The foundation of the company is a scientific discovery led by Dr. Yang De Marinis (Assoc. Prof, Prof) in collaboration with 22 institutes, hospitals and universities from Sweden, Finland, Germany, US, UK, France, Switzerland, Italy, Denmark and China. This large international study discovered blood protein biomarkers that predict future type 2 diabetes many years before diagnosis.
Based on the scientific findings, Lundoch was founded and developed LDcoder®, which detects diabetes risk in an individual by AI-driven blood test at least 4 years before diagnosis. This innovative technology makes diabetes prevention possible through early risk screening and intervention in large populations globally.
Through our technology, Lundoch is marching a great mission: Save the world from Diabetes!
The technology: LDcoder®
LDcoder® is composed of an advanced AI machine-learning software together with patented blood biomarker analysis. It is performed on a tiny amount of blood sample, and can be easily implemented in any clinical labs.