Frequently Asked Questions

We generate personalized predictions by applying hazard ratios from peer-reviewed meta-analyses to your profile. The prediction intervals reflect uncertainty from the underlying studies—wider intervals mean less certainty. Your actual outcomes may differ due to genetics and factors not in our models, which is why we show uncertainty ranges rather than false precision.

CDC life tables for baseline mortality, hazard ratios from Cochrane/Lancet/JAMA meta-analyses for risk factors, and GBD 2019 for disease burden. We use Monte Carlo simulation to propagate uncertainty through the calculations, giving you prediction intervals that reflect the limits of current research.

No. Optiqal provides statistical predictions, not clinical recommendations. We show what the research suggests for someone with your profile, but can't account for your full medical history. Discuss health decisions with your doctor who knows your complete situation.

The profile you enter is sent to our server, which runs the analysis engine to compute your estimates (the computation may use an external model service we operate for that purpose). We do not keep a database of user profiles, and your inputs are processed only to return your results rather than stored long-term. The app automatically remembers your profile, sleep inputs, and stated routine in this browser's local storage until you clear them. See our Privacy Policy for complete details.

We currently model factors with strong research backing including smoking, alcohol consumption, exercise, diet, sleep, and BMI. We continually evaluate new research to expand our coverage while maintaining scientific rigor.

Treat them as statistical estimates, not clinical recommendations. Use the prediction interval rather than the point estimate—the range tells you how uncertain the underlying research is for someone with your profile. They can inform a conversation with your doctor, who knows your full medical history, but they should not replace it.