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UCLA researchers have created a deep learning-enhanced chemiluminescence vertical flow assay (CL-VFA) for cardiac troponin I testing. This innovative platform allows for portable, cost-effective testing that meets clinical standards for detecting heart attacks. The technology aims to improve access to rapid cardiac diagnostics, especially in resource-limited settings.
The new point-of-care sensor can deliver results in just 25 minutes, significantly aiding clinical decision-making. With a price point of approximately $222 for the reader and $4 per test, this solution is designed to be affordable and accessible. The integration of AI-driven analysis with high-sensitivity biosensing marks a significant advancement in cardiac care.
• AI-driven analysis enhances the accuracy of cardiac diagnostics.
• Portable testing technology democratizes access to cardiac care.
Deep learning algorithms process images to determine cardiac troponin I concentrations.
Chemiluminescence is used to generate light signals for detecting troponin levels.
Point-of-care testing allows for immediate cardiac diagnostics outside traditional labs.
UCLA is at the forefront of developing AI technologies for healthcare diagnostics.
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