Emory
A half-dozen hospital systems plan to implement the tool, which combs through patient medical records to identify those suspected to have high Lp(a).
Family Heart Foundation Implementing Machine-Learning Tool for Identifying Patients With High Lp(a)
A group of hospital systems are using the machine-learning model to guide decisions on who should be tested for high levels of lipoprotein(a).
Spotlight on Lp(a) Risks, Low Testing Prevalence, and Potential Treatments at Cardiology Meeting
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At ACC's annual meeting, there was a big focus on educating doctors about Lp(a) testing and its role in heart disease as new drugs advance in clinical trials.
The project is part of a broader push to create multiomic disease atlases that will integrate information on exposures with genomic, proteomic, and other data.
Researchers at the Cleveland Clinic and beyond are applying biomarker strategies to a treatment modality that has historically missed out on precision oncology advances.