Transforming diagnostics with AI
Fully automated expert-independent microscopy application for:
- Blood parasites
- Stool parasites
- Urinary infections
- Bacteria infections
The Problem
Due to low budgets and high instrument prices, reliable diagnostic instruments for early-stage Malaria, NTD, and STH diagnosis are not widely available in rural areas of low-resource settings.
The reference standard microscopy diagnostic technique is labor-intensive, error-prone, time consuming & expert-dependent. These limitations result to lack of access to reliable diagnosis in rural areas, delayed diagnosis, prolonged sicknesses, increased health risks and deaths.
Our solution
We provide a multi-diagnostic automated microscope that provides quick, reliable, affordable, easy-to-use, and field compatible point-of-care assisted diagnosis of malaria Tuberculosis, & Neglected Tropical Diseases (Schistosomiasis haematobium, Schistosomiasis mansoni Lymphatic Filariasis, Soil-Transmitted Helminths)
Portable
Battery for field compatibility
Reliable
Comparable to expert microscopy
Accurate
AI-driven sample
analysis
Lymphatic Filariasis
Malaria
Tuberculosis
Schistosomiasis
Our Products
Use cases
Microfilaria
Urinary Schistosomiasis detection
Join our mission
Our aim is to diagnose 90 % of people in rural areas to eliminate NTD’s and malaria using advanced rapid, expert-independent, affordable and reliable automated microscopy diagnosis.
Support our work
We have been working with our partners to determine the infection load in communities throughout Nigeria, through which we have contributed to immediate treatment efforts
- Partner with us
- Make a donation
- Invest
Join the team
To be able to further develop and scale our operations we need additional passionate, dedicated & skilled individuals to join our team.
Spread our mission
There is power behind bringing awareness for the need of diagnostics in rural areas and it will change lives.
About Aidx Medical
AiDx Medical Bv has unique experience in the development of affordable automated AI-assisted optical detection methodology and its integration into microscopic systems with off-the shelf optical components. We have assembled a team with over 25 years of experience in optical system design, artificial intelligence, software & product design both from industry and the Delft University of Technology.
