AI/ML Models for early RISK prediction - RESEARCH STUDY!
Advancing Predictive Health
The Role of AI-Enhanced Blood Marker Analysis in Early Detection of Chronic Diseases and Cancer
AI Prediction Models
AI Prediction Models driven by routine blood markers to predict risks for life-threatening chronic diseases including cancers.
80+ Models for life threatening diseases in the works
We have developed multiple AI/ML Models to predict the risk for life threatening diseases, like cancers, chronic and acute diseases. These models are driven ONLY by routine blood markers. This makes the screening very cheap, efficient and effective across populations.
Model Dashboard
The models provide...
- The risk scores
- Confidence of the model
- The probability of the condition in a given patient compared to the prevalence rate
- Relative blood markers of importance
- True / False positive and negative rates
- Additional specific lab tests needed to confirm/ rule out the risk.
Evidence Based Prediction
The models provide scientific articles linking the blood markers of importance to the risk for the particular life threatening conditions. They explain detailed biochemical mechanism of action. Thus it supports confidence in the model, and helps clinicians to monitor and evaluate appropriate intervention options.
Population Screening Cascade
The models provide a very effective, comprehensive and inexpensive method to screen population at large with low prevalence of life threatening diseases to stratified sub-population with high prevalence. This is possible with over 99% Negative Predictive Value generated by these models. Further these enriched sub-population are good candidates for special blood marker testing as shown above, followed by image screening.