Live demo

Osteoporosis Risk Analytics Demo

Enter a few patient measurements (such as age, BMI, and kidney function) and see an osteoporosis risk estimate with the factors behind it. Adjust the sample values and the score, band, and drivers recompute as you type. For analytics and research, not clinical diagnosis.

These are sample values, already filled in. Change any number and the score updates. You do not need to be an expert to try it.

Gender

Age (years)

BMI (kg/m2)

eGFR, kidney function (ml/min)

Testosterone (nmol/L)

Smoking status

Reference: Logistic-regression model with documented coefficients; no published reference yet.

Analytical output

21.30%

Lower osteoporosis risk band

Estimated risk from weighted input factors

Results interpretation

The model estimates a 21.30% osteoporosis risk for this profile. This is an illustrative estimate on sample data, not an observed rate; calibration is reported per project.

Best used for research review, cohort stratification, and osteoporosis prevention planning.

Key drivers

Female gender