OutSense Diagnostics has developed an IoT device that attaches to a toilet bowl to autonomously analyze human waste, providing real-time health diagnostics through advanced imaging algorithms and AI. This technology enables early detection of medical conditions such as colorectal cancer and urinary tract infections, facilitating timely intervention and personalized healthcare.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current methods for detecting various health conditions often rely on manual sample collection and laboratory analysis, leading to delays and potentially impacting early diagnosis and treatment. Traditional testing approaches can also be invasive or inconvenient, resulting in delayed or avoided screenings.
Solution
OutSense Diagnostics offers an automated, in-situ health-monitoring solution through a device that attaches to any standard toilet bowl. The device uses an optical sensor to autonomously scan human waste, identifying the optical footprint of feces and urine components without user intervention. Data is securely transferred to a cloud platform, where advanced imaging algorithms and AI tools analyze the information, incorporating the patient's medical history to deliver personalized diagnostics and biofeedback. The system alerts caregivers and users to potential health deviations, enabling timely intervention and personalized healthcare.
Target Audience
The primary target audience includes individuals at risk for various health conditions, elderly care facilities, medical institutions, and healthcare providers seeking continuous, non-invasive health monitoring solutions.
Features
- IoT device equipped with a smart optical sensor for autonomous scanning of human waste
- Multi-spectral optical sensors and light source to identify the optical footprint of feces and urine components
- Secure cloud platform for data analysis using advanced imaging algorithms and AI
- Detection of blood in stool, a key indicator of colorectal cancer
- Analysis of stool constituents and spatial distribution of blood traces to identify blood origin along the gastro-intestinal tract
- Detection of urine constituents and dehydration levels
- Integration with Health Information Systems (HIS) and a mobile application for report delivery
- Continuous, discreet, and real-time data gathering and analysis