D-Forecast AI uses a powerful ensemble of specialised AI models trained on diverse clinical populations to generate a personalised diabetes risk score — accurate, explainable, and actionable.
No lab required for a first estimate. Optional biomarker inputs allow the AI to go deeper for higher accuracy.
Provide basic clinical values — age, BMI, fasting glucose, HbA1c. Optionally add lifestyle factors and lipid panel for a deeper, more accurate assessment.
D-Forecast's AI engine dynamically activates the right analytical models for your input data. More data provided means more signals cross-validated for a higher confidence score.
Get a calibrated risk percentage, tier classification (Low → Very High), and personalised, actionable recommendations tailored to your specific health profile.
D-Forecast's AI combines multiple specialised models trained across diverse clinical populations — each contributing unique insight to your final risk score.
Your final risk score blends three independent signal layers — more data you provide, more layers activate, and the higher the confidence.
Most Type 2 diabetes develops over years with few symptoms. By the time clinical diagnosis happens, significant damage may already be done. Early risk prediction changes everything.
With early lifestyle intervention, pre-diabetic individuals can reduce progression risk by up to 58%. D-Forecast is designed to catch risk in this critical, reversible window.
A single data point can be misleading. D-Forecast cross-validates across clinical, lifestyle, and biomarker signals, significantly reducing the chance of a missed high-risk case.
Treating diabetes costs 2–3× more than prevention. Screening and early intervention programmes show consistent 30–40% cost reduction over 10 years.
⚠ This illustrative estimator uses simplified heuristics only. Use the full prediction tool for your actual risk assessment.
The most common form, accounting for over 90% of all cases. Develops when cells become resistant to insulin or the pancreas doesn't produce enough. Strongly linked to lifestyle factors.
Unlike Type 1, it is preventable and often reversible in early stages with diet, exercise and weight management. D-Forecast is primarily optimised for Type 2 prediction.
An autoimmune condition where the immune system mistakenly destroys insulin-producing beta cells in the pancreas. Requires lifelong insulin therapy.
Not preventable and not associated with lifestyle factors. Our models do not screen for Type 1 specifically, though high HbA1c and glucose values will still flag as high-risk.
Blood glucose levels higher than normal but not yet high enough for a Type 2 diagnosis. A critical warning window — intervention here is most effective.
The Iraqi Biomarker model in our ensemble specifically identifies pre-diabetic metabolic patterns via lipid profiles. Many people with pre-diabetes don't know they have it.
Occurs during pregnancy when blood glucose levels rise above normal. Usually resolves after birth but significantly increases lifetime risk of Type 2 diabetes for both mother and child.
D-Forecast AI is designed to support general diabetes risk screening and may be used alongside clinical judgement for maternal risk assessment.
Run a full AI-powered prediction in under 2 minutes. No account needed. Results are private and stored locally in your session.