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Transform your soil-transmitted helminth programs with Enaiblers comprehensive AI-driven diagnostic solutions, designed to enhance quality control, population screening, monitoring and evaluation, surveillance and impact studies through rapid, accurate, and scalable technology.
A purpose built, end-to-end integrated, diagnostic platform to support M&E programs
AI Microscopy
- Automated Whole Slide Imaging: Effortlessly scan glass slides and generate digital whole slide images with our automated system.
- Remote Operation: Operate seamlessly in remote locations using power bank batteries, solar, or generators, independent of stable electricity.
- Offline AI Integration: Run custom AI models directly on the integrated computer without the need for an internet connection, perfect for research purposes.
Fieldable Artificial Intelligence
Our automated whole slide image support running of custom AI models from our AI model store.
Include with the scanner is an AI model suitable for supporting population screening and research activities with ability to accurately identifying, classifying and quantifying soil transmitted helminths and schistosomiasis in Kato Katz stool smears.
See our clinical study results here:
Electronic Data Capture &
Automated Reporting
- Seamless Data Collection: Capture and manage data effortlessly with customizable digital forms that work both online and offline.
- Real-Time Insights: Access a secure login portal and real-time dashboards for immediate data analysis and reporting.
- Integrated and Automated: Streamline your workflow with automated reporting and easy data integration, ensuring accuracy and efficiency.
Betty Nabatte
Program officer at the Vector Control Division, Ministry of Health Uganda & AI4NTD technology super user
Betty Nabatte
Program officer at the Vector Control Division, Ministry of Health Uganda & AI4NTD technology super user
"Our laboratory & slide analysis work has never been easier! The processes have been greatly simplified thanks to the AI4NTD technology, which has relieved us of the time-intensive job of manually recording results and determining the intensity of infection. Thanks to the artificial intelligence-assisted device, everything is now automatic – just one click on the dashboard, and all the results are displayed for each slide! Thanks to the efforts of our fellow partners in the AI4NTD Consortium, a lot of time and money for implementing STH and schistosomiasis monitoring surveys has been saved.”
Gemechu Leta
Researcher at the Ethiopian Public Health Institute & AI4NTD field evaluation work lead
Gemechu Leta
Researcher at the Ethiopian Public Health Institute & AI4NTD field evaluation work lead
"The control and elimination of soil-transmitted helminthiases & schistosomiasis require an improved diagnostic strategy that depends on technology rather than human skill. I am optimistic that the contributions of the AI4NTD Consortium with our new artificial intelligence-driven digital pathology for NTDs in low- and middle-income countries will be an irreplaceable option in the coming years for strengthening the existing healthcare system."
