Scientific Sessions 2025  /  AI-enabled Risk Prediction in Cardiovascular Care  /  Risk scores to enable accessible precision care
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American Heart Association

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Final ID:

Risk scores to enable accessible precision care

  • Khan, Sadiya  ( Northwestern University , Chicago , Illinois , United States )
  • Coresh, Josef  ( NYU Grossman School of Medicine , New York , New York , United States )
    • Author Disclosures:
    Sadiya Khan: DO NOT have relevant financial relationships | Josef Coresh: DO have relevant financial relationships ; Advisor:Soma Logic:Active (exists now) ; Individual Stocks/Stock Options:Healty.io:Active (exists now)
Meeting Info:

Scientific Sessions 2025

2025

New Orleans, Louisiana

Session Info:

AI-enabled Risk Prediction in Cardiovascular Care

Monday, 11/10/2025 , 01:30PM - 02:45PM

Cardiovascular Seminar

More abstracts on this topic:
The landscape of machine learning-enabled precision care with multi-omics

Asnani Aarti, Maron Bradley

Translating learning from traditional biomarker discovery to novel precision tools

Natarajan Pradeep, Leopold Jane

More abstracts from these authors:
Evaluation of the AHA PREVENT Models in a Diverse US Veteran Population Among Race and Ethnic Groups

Mathew Roy, Khan Sadiya, Coresh Josef, Ndumele Chiadi, Rangaswami Janani

The nuts and bolt of the PREVENT risk model

Khan Sadiya, Coresh Josef

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