Skip to content
AfricureAnalytics
  • Home
  • About
  • Solutions
  • Platform
  • Impact
  • Research
  • Team
  • Partnerships
  • Insights
  • Contact
Contact us
Navigation
  • Home
  • About
  • Solutions
  • Platform
  • Impact
  • Research
  • Team
  • Partnerships
  • Insights
  • Contact
Contact us
AfricureAnalytics

Health analytics for institutions, researchers, and programmes. Risk scoring, reporting, population monitoring, and research tools.

General enquiries
hello@africureanalytics.com
Phone
+2349023885989

Company

  • About
  • Team
  • Impact
  • Partnerships

Solutions

  • All solutions
  • Diabetes risk analytics
  • Image pattern analytics
  • Population analytics
  • Live demos

Trust

  • Research and methodology
  • Security
  • Privacy policy
  • Evidence and governance
  • Scope and intended use
  • Accessibility

Important notice: Africure Analytics focuses on analytics, reporting, interpretation, and monitoring workflows. Public product pages describe analytical scope only.

PrivacyTermsScope and intended use

Copyright 2026 Africure Analytics. All rights reserved.

Live demos

Explore the interactive analytics workbenches

Each demo uses sample inputs and shows how the reporting logic, review bands, and interface behave.

Interactive workbench

Diabetes Risk Analytics Demo

See how age, BMI, family history, and lifestyle factors produce a risk score for diabetes planning and outreach.

Uses sample inputs for analytics review, reporting, and evaluation. Not for diagnosis or treatment decisions.

Open demoR Shiny demo
Interactive workbench

Oncology Recurrence Analytics Demo

See how follow-up context and oncology variables can be organised into structured recurrence-monitoring bands for reporting and research.

Designed for research and reporting review. Not for prognosis, treatment planning, or direct patient management.

Open demoR Shiny demo
Interactive workbench

Healthy Ageing Risk Analytics Demo

See how ageing, mobility, lifestyle, and fall-history inputs can support prevention-focused cohort stratification and planning.

Built for prevention analytics and cohort review. Individual care decisions still require qualified review and broader context.

Open demoR Shiny demo