The Role of AI-Enhanced Blood Marker Analysis in Early Detection of Chronic Diseases and Cancer
AI Prediction Models driven by routine blood markers to predict risks for life-threatening chronic diseases including cancers.
We have developed a portfolio of patent-pending AI/ML models designed to predict the risk of life-threatening conditions, including cancers as well as chronic and acute diseases. These models leverage routine blood markers only, enabling cost-effective, efficient, and highly scalable screening across diverse populations. This approach makes early detection more accessible, equitable, and impactful on a global scale.
The models provide...
Our models are grounded in evidence-based research, with scientific publications linking key blood markers to the risk of specific life-threatening conditions. Each model explains the detailed biochemical mechanisms of action, strengthening confidence in its predictions. This approach not only enhances clinical trust but also equips clinicians to monitor patients effectively and evaluate appropriate intervention strategies.
Our models enable a comprehensive, safe, and cost-effective approach to population-level screening for life-threatening diseases with low baseline prevalence. Leveraging a Negative Predictive Value (NPV) of over 99%, these models accurately identify and stratify sub-populations with significantly higher prevalence rates. This enriched group can then undergo advanced testing with specialized blood markers, followed by imaging or biopsy when clinically indicated. This cascade ensures efficient resource utilization while maximizing early detection and patient outcomes.
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