• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to secondary sidebar
  • Skip to footer

  • Opinion
  • Health IT
    • Behavioral Health
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Patient Engagement
    • Population Health Management
    • Revenue Cycle Management
    • Social Determinants of Health
  • Digital Health
    • AI
    • Blockchain
    • Precision Medicine
    • Telehealth
    • Wearables
  • Life Sciences
  • Investments
  • M&A
  • Value-based Care
    • Accountable Care (ACOs)
    • Medicare Advantage

Family Heart Foundation Launches AI Model for Early Cardiovascular Disease Detection

by Fred Pennic 09/20/2024 Leave a Comment

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

What You Should Know: 

– The Family Heart Foundation, a leader in cardiovascular research and advocacy, has unveiled an “FIND Lp(a)” a machine learning model to combat premature heart disease and stroke. The first-of-its-kind offering is set to be implemented across major U.S. healthcare systems. 

– The program leverages AI to identify individuals with elevated Lp(a), an inherited condition that significantly increases cardiovascular disease risk.

Addressing a Hidden Risk Factor

Lipoprotein(a), or Lp(a), is a silent contributor to cardiovascular disease, causing inflammation, clotting, and blockages in the vascular system. While present in about 20% of the global population, its role in heart disease remains widely under-recognized. The FIND Lp(a) program aims to bridge this knowledge gap and accelerate the adoption of Lp(a) screening and management.

Empowering Patients and Providers

Developed in partnership with leading health systems and sponsored by Novartis, the FIND Lp(a) model pinpoints individuals whose cardiovascular disease risk may be elevated due to high Lp(a) levels. It engages all healthcare stakeholders and provides personalized support to flagged individuals, promoting best practices for widespread screening and optimal care.

Initial Testing and Impact

Preliminary tests using the Family Heart Database™ have demonstrated a 60% precision rate for the machine learning model. This precision enables clinicians to focus their screening efforts and resources effectively. Additionally, health systems can connect their patients to educational resources and support through the Family Heart Foundation, empowering them to understand their risk and take proactive steps towards better health.

Focus on Vulnerable Populations

The FIND Lp(a) program places particular emphasis on African American and Southeast Asian populations, who are known to have higher Lp(a) levels and, consequently, a greater risk of early-onset cardiovascular disease.

“We need to do more to leverage science and technology in our fight against heart disease. The Family Heart Foundation is committed to empowering individuals and their medical teams to understand if a lipoprotein(a) disorder is contributing to early or aggressive cardiovascular disease.” — Katherine Wilemon CEO and Founder, Family Heart Foundation.

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

Tagged With: Artificial Intelligence, Machine Learning

Tap Native

Get in-depth healthcare technology analysis and commentary delivered straight to your email weekly

Reader Interactions

Primary Sidebar

Subscribe to HIT Consultant

Latest insightful articles delivered straight to your inbox weekly.

Submit a Tip or Pitch

2026 Predictions & Trends

Healthcare 2026 Forecast: Executives on AI Survival, Financial Reckoning, and the End of Point Solutions

2026 Healthcare Executive Predictions: Why the AI “Pilot Era” Is Officially Over

Most-Read

NYC Health + Hospitals to Acquire Maimonides in $2.2B Safety Net Overhaul

NYC Health + Hospitals to Acquire Maimonides in $2.2B Safety Net Overhaul

KLAS Report: Why Hospitals Are Choosing Efficiency Over 'Agentic' AI Hype in 2025

KLAS Report: Why Hospitals Are Choosing Efficiency Over ‘Agentic’ AI Hype in 2025

Advanced Primary Care 2026: Top 6 Investments for Health Systems According to Harvard Medical School

Advanced Primary Care 2026: Top 6 Investments for Health Systems According to Harvard Medical School

AI Nutrition Labels: The Key to Provider Adoption and Patient Trust?

AI Nutrition Labels: The Key to Provider Adoption and Patient Trust?

Kristen Hartsell, VP of Clinical Services, RedSail Technologies

The Pharmacy Closures Crisis: How Independent Pharmacies Are Fixing Pharmacy Deserts

HHS Launches 'OneHHS' AI Strategy to Integrate AI Across CDC, CMS, and FDA for Efficiency and Public Trust

HHS Launches ‘OneHHS’ AI Strategy to Integrate AI Across CDC, CMS, and FDA for Efficiency and Public Trust

From Overwhelmed to Optimized: How AI Agents Address Staffing Challenges and Burnout in Healthcare

From Overwhelmed to Optimized: How AI Agents Address Staffing Challenges and Burnout in Healthcare

The VBC Paradox: Why Hospitals Are Doubling Down on Value-Based Care While Revenue at Risk Lags

The VBC Paradox: Why Hospitals Are Doubling Down on Value-Based Care While Revenue at Risk Lags

Tebra Secures $250M to Challenge Legacy EHRs with AI-Powered Automation

Tebra Secures $250M to Challenge Legacy EHRs with AI-Powered Automation

AstraZeneca Selects Salesforce Agentforce Life Sciences to Deploy AI-Powered Global Customer Engagement

AstraZeneca Selects Salesforce Agentforce Life Sciences to Deploy AI-Powered Global Customer Engagement

Secondary Sidebar

Footer

Company

  • About Us
  • Advertise with Us
  • Reprints and Permissions
  • Op-Ed Submission Guidelines
  • Contact
  • Subscribe

Editorial Coverage

  • Opinion
  • Health IT
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Population Health Management
    • Revenue Cycle Management
  • Digital Health
    • Artificial Intelligence
    • Blockchain Tech
    • Precision Medicine
    • Telehealth
    • Wearables
  • Startups
  • Value-Based Care
    • Accountable Care
    • Medicare Advantage

Connect

Subscribe to HIT Consultant Media

Latest insightful articles delivered straight to your inbox weekly

Copyright © 2026. HIT Consultant Media. All Rights Reserved. Privacy Policy |