Predict Type II diabetes risk from clinical biomarkers. Enter patient data and get a risk score with clear review bands.
A validated model that estimates Type II diabetes risk from biomarker and body measurement data, giving teams a clear risk score for prevention planning.
Chronic-disease data is often incomplete and hard to compare across programmes. This tool helps teams spot higher-risk groups and plan reporting priorities from the data they have.
Capture structured demographic, lifestyle, and history variables
Generate interpretable risk bands with supporting drivers
Review outputs in dashboards, reports, or partner summaries
Use cohort-level patterns to inform planning and further analysis
Risk Analytics
Estimate breast cancer recurrence risk from clinical and treatment data. Built for registry analysis and research teams.
Risk Analytics
Predict osteoporosis risk from demographic and clinical data. Designed for prevention planning and research teams.
Machine Learning Solutions
Custom machine-learning models for health data: classification, forecasting, segmentation, and risk prediction.