Family Heart Foundation study demonstrates how the FIND Lp(a) machine learning model enables targeted Lp(a) screening
Peer-Reviewed Publication
Updates every hour. Last Updated: 21-Oct-2026 07:16 ET (21-Oct-2026 11:16 GMT/UTC)
The Family Heart Foundation, a leading research, education and advocacy organization, today announced the publication of a new peer-reviewed study in JACC: Advances demonstrating how its FIND Lp(a)® Machine Learning Model can identify people with atherosclerotic cardiovascular disease (ASCVD) who are more likely to have high lipoprotein(a) — or Lp(a). The model has already been successfully deployed at five large U.S. healthcare systems participating in the FIND Lp(a) Program that aims to catalyze Lp(a) screening. The model’s high level of precision supports targeted Lp(a) screening as a practical approach for healthcare systems working toward implementation of guideline-recommended universal screening.
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