Bone Loss Calculator app icon

Apps Like Bone Loss Calculator for iPhone and iPad

by Marc Lubitz★ 5.01 ratingsMedicalFreeData updated 2026-09-06

Bone Loss Calculator screenshots

Ranked alternatives

Showing 741–760 of 1,000 ranked alternatives.

  1. Period Tracker - Lively Cycle app icon

    Period Tracker - Lively Cycle

    0NUR ORHAN

    Track cycles, log symptoms, predict ovulation

    Track menstrual cycles with flow intensity logging and ovulation prediction. Set reminders for medications or appointments. View detailed charts and receive personalized insights to support fertility awareness and health decisions.

    ★ 0.00 ratingsMedicalFreeData updated 2026-09-06
  1. Spearhead Calculator app icon

    Spearhead Calculator

    Matthias Unterhuber

    Predict treatment response with XGBoost models

    Predict individual response to spironolactone therapy in HFpEF patients using a gradient-boosting model. Input patient data to estimate treatment effect. Provides research-based predictions for clinical validation.

    ★ 0.00 ratingsMedicalFreeData updated 2026-09-06
  2. CardioRisk Calculator app icon

    CardioRisk Calculator

    The University of British Columbia - Okanagan

    Calculate LDL-C reduction and risk score

    Calculate cardiovascular risk percentage and LDL-C reduction. Provide drug dosage details and target lipid level options. Identify familial hypercholesterolemia. Display concise patient risk snapshots.

    ★ 0.00 ratingsMedicalFreeData updated 2026-09-08
  3. MediFlow app icon

    MediFlow

    Freedom Bridge, s. r. o.

    ★ 0.00 ratingsLifestyleFreeData updated 2026-09-06
  4. TREMOR AI app icon

    TREMOR AI

    DENSAN, K.K.

    Measure intensity and track changes

    Capture and analyze data by photographing a printed spiral grid. Use AI to classify type as cerebellar, essential, or normal. Track symptom changes over time through repeated assessments.

    ★ 0.00 ratingsMedicalFreeData updated 2026-09-23

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.