What You Should Know:
– Mayo Clinic is expanding its collaboration with SandboxAQ, a provider of artificial intelligence (AI) medical apps to explore the use of electrocardiography (ECG) and magnetocardiography (MCG) technologies for characterizing disease progression and treatment response in patients with amyloidosis.
– The expanded partnership highlights the potential of combining AI and advanced sensing technology to revolutionize cardiac diagnostics.
Improved Detection and Monitoring of Amyloidosis and Other Cardiac Conditions
Amyloidosis is a condition characterized by the buildup of abnormal protein deposits in organs and tissues, including the heart. Early diagnosis and accurate monitoring are crucial for effective management, but current tools often fall short in detecting subtle changes in cardiac function.
The expanded collaboration aims to address this challenge by integrating the established reliability of ECG with the cutting-edge sensitivity of MCG. MCG is a non-invasive technology that measures the magnetic fields generated by the heart’s electrical activity, providing a more detailed picture of cardiac function compared to ECG alone.
By combining these two modalities with SandboxAQ’s advanced AI algorithms, the partnership seeks to develop a novel diagnostic solution that offers deeper insights into the electrical and magnetic activity of the heart. This approach has the potential to:
- Improve early detection of amyloidosis: Identify subtle changes in cardiac function that may be missed by traditional methods.
- Enhance disease monitoring: Track disease progression and treatment response more accurately over time.
- Enable personalized treatment: Guide clinical decision-making and optimize treatment strategies for individual patients.
“By uniting AQMed’s technical innovation with Mayo Clinic’s renowned research and clinical excellence, we aim to make a meaningful impact on the lives of amyloidosis patients across the globe in the near future,” said Kit Yee Au-Yeung, GM of SandboxAQ’s AQMed division.
