Every mammogram may hold a cardiovascular signal.
About 1 in 8 women in the US will develop breast cancer in her lifetime. Cardiovascular disease remains the No. 1 killer of women and causes about 1 in 3 female deaths each year. The screening infrastructure already exists. The missing layer is cardiovascular intelligence.
Standard cardiovascular risk models were calibrated on populations that underrepresent women. Important signals exist in routine imaging, but are rarely translated into prevention.
Breast arterial calcification is visible on mammography and has been associated with cardiovascular outcomes. Recent AI-based studies show that automated BAC quantification can predict cardiovascular morbidity and mortality and add prognostic value beyond traditional risk tools.
PrevisionDX is building on this foundation by developing a composite approach that combines BAC, breast density, and AI-derived tissue features rather than relying on a single imaging marker.
Read the published evidence →The CCRI is being developed as a multi-biomarker, explainable, longitudinal framework. Designed to extend the value of existing screening, not to replace clinical judgment.
No new scan. No new radiation. Built for existing mammography workflows.
Today's market is beginning to recognize the cardiovascular value of mammography. Existing tools focus on BAC detection, breast density, or breast cancer risk.
PrevisionDX is developing a composite cardiovascular framework built from outcomes data and designed for longitudinal risk intelligence.
Healthcare operator with experience building and scaling regulated healthcare businesses, including multi-state care delivery, federal nutrition programs, compliance-heavy operations, payer-facing services, and custom healthcare workflow software.
Computer vision and medical imaging AI leader with decades of experience across healthcare imaging, applied AI, and product development. Former senior leader at Zebra Medical Vision and inventor on multiple granted US patents.
Biomedical engineer with experience in experimental research, data analysis, and technical workflow development. Co-authored published research at Tel Aviv University.
PrevisionDX welcomes conversations with imaging platforms, health systems, research collaborators, clinical leaders, and strategic partners.