Paper-based sensor offers rapid cardiac diagnostics in 15 minutes

In a significant advancement for point-of-care medical diagnostics, a team of researchers from UCLA has introduced a deep learning-enhanced, paper-based vertical flow assay (VFA) capable of detecting cardiac troponin I (cTnI) with high sensitivity. The innovative assay holds the potential to democratize access to rapid and reliable cardiac diagnostics, particularly in resource-limited settings.