AI-Powered Kidney Health Assessment for Digital Healthcare Innovation

Context:

A health-tech startup aimed to transform traditional pathology by introducing a rapid test for kidney health assessment—offering results in just 3 minutes. The objective was to build a mobile-first solution capable of real-time diagnostics using color-based image analysis, reducing patient wait time while enhancing diagnostic accessibility.

Used Platforms

React Native
Node JS
Mongo DB
Tenserflow JS
Py Tourch
Challenges:
  • Build an intuitive app that collects urine test sample images via mobile camera
  • Train an accurate ML model to detect and assess color variations in test strips
  • Ensure reliable and fast health insights, even on low-resource mobile devices
  • Display results in a clear, visual format understandable by non-medical users
  • Integrate a secure, responsive backend to process and store test outcomes
Solutions Delivered by Upperthrust:
  • Developed a cross-platform mobile health app using React Native for patient accessibility
  • Trained a custom ML model using TensorFlow.js and PyTorch to:\n  – Auto-crop and identify key color zones in images\n  – Extract accurate colorimetric data from test strips\n – Return assessments based on kidney health indicators
  • Built a Node.js + MongoDB backend to manage data workflows securely
  • Designed a real-time color meter interface with dynamic health indicators and descriptions
  • Created a fully localized, mobile-first experience optimized for health clinics and home users
Benefits Achieved:
  • Enabled users to receive AI-powered kidney health assessments in under 3 minutes
  • Delivered visual, easy-to-understand results via color-coded health meters
  • Reduced patient wait times and eliminated manual test interpretation
  • Empowered remote testing with mobile-first diagnostic capabilities
  • Reinforced Upperthrust’s position as a leader in AI-driven digital transformation in healthcare

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