Integrated Diagnostic enabled by Artificial Intelligence Digital Pathology for Soil Transmitted Helminths and Schistosomiasis

Summary: The goal of the IDxAID project is to close the gap in access to affordable, high-quality soil-transmitted helminth (STH) and schistosomiasis (SCH) diagnostics through an AI microscopy platform capable of identifying three STH species (Ascaris lumbricoides, Trichuris trichiura, and hookworm) and four Schistosoma species (S. haematobium, S. mansoni, S. japonicum, S. mekongi). Developed by Enaiblers, the platform is explicitly designed to meet the WHO diagnostic target product profile (TPP) for STH and SCH monitoring, evaluation, and surveillance (M&E&S).
Manual microscopy remains the WHO standard for STH and SCH diagnosis and is essential for confirming true-positive cases. However, it faces major constraints for large-scale M&E&S: high personnel costs, declining parasitology expertise, potential for human error, and slow turnaround from data collection to actionable insights.
IDxAID will deliver a portable, field-ready AI-powered microscopy solution with integrated digital workflows for rapid, reliable detection of STH and SCH in endemic regions. The platform will be validated in laboratory and clinical settings to ensure it meets WHO TPP criteria for sensitivity, specificity, and operational feasibility.
By improving diagnostic accuracy, reducing reliance on scarce expert microscopists, and accelerating data-to-decision timelines, IDxAID will strengthen national monitoring and evaluation programs, support progress toward WHO elimination targets, and enhance control strategies in co-endemic areas. This first-in-class diagnostic platform is also adaptable for future expansion to other neglected tropical diseases, amplifying its potential public health impact.

Starting date: 01/04/2026
Deadline (months): 24

Participants:

Role	Name
Coordinator *	CARLOS GRAEFF TEIXEIRA